diff --git a/cookbook/__init__.py b/cookbook/__init__.py deleted file mode 100644 index 350853f0..00000000 --- a/cookbook/__init__.py +++ /dev/null @@ -1,37 +0,0 @@ -""" -Semantica Cookbook - -This module contains comprehensive examples and use cases for the Semantica framework. - -The cookbook is organized into different categories: - - Basic Examples: Simple usage examples - - Advanced Examples: Complex use cases and workflows - - Domain Examples: Domain-specific applications - - Integration Examples: Integration with other systems - - Performance Examples: Performance optimization examples -""" - -# Basic Examples -# from .basic_examples import document_processing_example -# from .basic_examples import web_scraping_example -# from .basic_examples import knowledge_graph_example - -# Advanced Examples -# from .advanced_examples import multi_modal_processing -# from .advanced_examples import real_time_analytics -# from .advanced_examples import federated_knowledge - -# Domain Examples -# from .domain_examples import biomedical_knowledge -# from .domain_examples import financial_analytics -# from .domain_examples import legal_document_analysis - -# Integration Examples -# from .integration_examples import database_integration -# from .integration_examples import api_integration -# from .integration_examples import cloud_integration - -# Performance Examples -# from .performance_examples import large_scale_processing -# from .performance_examples import streaming_optimization -# from .performance_examples import memory_optimization diff --git a/cookbook/advanced_examples/__init__.py b/cookbook/advanced_examples/__init__.py deleted file mode 100644 index fb9b05ec..00000000 --- a/cookbook/advanced_examples/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -""" -Advanced Examples - -This module contains advanced usage examples for the Semantica framework. - -Examples: - - multi_modal_processing: Process multi-modal data (text, images, audio) - - real_time_analytics: Real-time data processing and analytics - - federated_knowledge: Federated knowledge graph construction - - streaming_processing: Stream processing and real-time updates - - distributed_processing: Distributed processing across multiple nodes -""" - -# from .multi_modal_processing import MultiModalProcessingExample -# from .real_time_analytics import RealTimeAnalyticsExample -# from .federated_knowledge import FederatedKnowledgeExample -# from .streaming_processing import StreamingProcessingExample -# from .distributed_processing import DistributedProcessingExample diff --git a/cookbook/advanced_examples/multi_modal_processing.py b/cookbook/advanced_examples/multi_modal_processing.py deleted file mode 100644 index a36cee9c..00000000 --- a/cookbook/advanced_examples/multi_modal_processing.py +++ /dev/null @@ -1,302 +0,0 @@ -""" -Multi-Modal Processing Example - -This example demonstrates how to process multi-modal data (text, images, audio) using Semantica. - -Key Features Demonstrated: - - Multi-modal data ingestion - - Cross-modal embedding generation - - Multi-modal entity extraction - - Cross-modal relationship detection - - Multi-modal knowledge graph construction - - Cross-modal similarity search - -Use Cases: - - Social media content analysis - - Multimedia document processing - - Video content analysis - - Audio transcription and analysis - - Cross-modal information retrieval -""" - - -class MultiModalProcessingExample: - """ - Multi-modal processing example implementation. - - This example shows how to: - • Process data from multiple modalities - • Generate cross-modal embeddings - • Extract entities from different modalities - • Detect relationships across modalities - • Build multi-modal knowledge graphs - • Perform cross-modal similarity search - """ - - def __init__(self): - """ - Initialize multi-modal processing example. - - • Setup Semantica framework - • Configure multi-modal processors - • Initialize cross-modal embedding generation - • Setup multi-modal entity extraction - • Configure cross-modal relationship detection - • Setup multi-modal knowledge graph building - """ - # TODO: Initialize Semantica framework - # TODO: Setup multi-modal data processors - # TODO: Configure cross-modal embedding generation - # TODO: Initialize multi-modal entity extraction - # TODO: Setup cross-modal relationship detection - # TODO: Configure multi-modal knowledge graph building - pass - - def process_multimodal_data(self, data_sources, **options): - """ - Process multi-modal data from various sources. - - • Ingest data from multiple modalities - • Process each modality appropriately - • Generate cross-modal embeddings - • Extract entities from all modalities - • Detect relationships across modalities - • Build multi-modal knowledge graph - - Args: - data_sources: Dictionary of data sources by modality - **options: Multi-modal processing options - - Returns: - dict: Multi-modal processing results - """ - # TODO: Ingest data from multiple modalities - # TODO: Process each modality using appropriate processors - # TODO: Generate cross-modal embeddings using MultiModalEmbedder - # TODO: Extract entities from all modalities - # TODO: Detect relationships across modalities - # TODO: Build multi-modal knowledge graph - # TODO: Return multi-modal processing results - pass - - def process_text_and_images(self, text_data, image_data, **options): - """ - Process text and image data together. - - • Process text content - • Process image content - • Generate cross-modal embeddings - • Extract entities from both modalities - • Detect relationships between text and images - • Build cross-modal knowledge graph - - Args: - text_data: Text data to process - image_data: Image data to process - **options: Text-image processing options - - Returns: - dict: Text-image processing results - """ - # TODO: Process text content using TextEmbedder - # TODO: Process image content using ImageEmbedder - # TODO: Generate cross-modal embeddings - # TODO: Extract entities from text and images - # TODO: Detect relationships between text and images - # TODO: Build cross-modal knowledge graph - # TODO: Return text-image processing results - pass - - def process_audio_and_text(self, audio_data, text_data, **options): - """ - Process audio and text data together. - - • Process audio content - • Process text content - • Generate cross-modal embeddings - • Extract entities from both modalities - • Detect relationships between audio and text - • Build cross-modal knowledge graph - - Args: - audio_data: Audio data to process - text_data: Text data to process - **options: Audio-text processing options - - Returns: - dict: Audio-text processing results - """ - # TODO: Process audio content using AudioEmbedder - # TODO: Process text content using TextEmbedder - # TODO: Generate cross-modal embeddings - # TODO: Extract entities from audio and text - # TODO: Detect relationships between audio and text - # TODO: Build cross-modal knowledge graph - # TODO: Return audio-text processing results - pass - - def generate_cross_modal_embeddings(self, multimodal_data, **options): - """ - Generate cross-modal embeddings. - - • Process data from multiple modalities - • Generate embeddings for each modality - • Align embeddings across modalities - • Fuse embeddings from different modalities - • Return cross-modal embeddings - - Args: - multimodal_data: Multi-modal data to process - **options: Cross-modal embedding options - - Returns: - dict: Cross-modal embedding results - """ - # TODO: Use MultiModalEmbedder to generate embeddings - # TODO: Align embeddings across modalities - # TODO: Fuse embeddings from different modalities - # TODO: Return cross-modal embeddings - pass - - def extract_cross_modal_entities(self, multimodal_data, **options): - """ - Extract entities from multiple modalities. - - • Process each modality for entity extraction - • Align entities across modalities - • Resolve cross-modal entity conflicts - • Return cross-modal entity extraction results - - Args: - multimodal_data: Multi-modal data to process - **options: Cross-modal entity extraction options - - Returns: - dict: Cross-modal entity extraction results - """ - # TODO: Extract entities from each modality - # TODO: Align entities across modalities - # TODO: Resolve cross-modal entity conflicts - # TODO: Return cross-modal entity extraction results - pass - - def detect_cross_modal_relationships(self, multimodal_data, entities, **options): - """ - Detect relationships across modalities. - - • Process each modality for relationship extraction - • Detect relationships within modalities - • Detect relationships across modalities - • Validate cross-modal relationships - • Return cross-modal relationship detection results - - Args: - multimodal_data: Multi-modal data to process - entities: Extracted entities - **options: Cross-modal relationship detection options - - Returns: - dict: Cross-modal relationship detection results - """ - # TODO: Extract relationships within each modality - # TODO: Detect relationships across modalities - # TODO: Validate cross-modal relationships - # TODO: Return cross-modal relationship detection results - pass - - def build_multimodal_knowledge_graph(self, multimodal_data, entities, relationships, **options): - """ - Build multi-modal knowledge graph. - - • Integrate entities from all modalities - • Integrate relationships from all modalities - • Resolve cross-modal conflicts - • Build unified knowledge graph - • Return multi-modal knowledge graph - - Args: - multimodal_data: Multi-modal data - entities: Extracted entities - relationships: Extracted relationships - **options: Multi-modal knowledge graph building options - - Returns: - dict: Multi-modal knowledge graph building results - """ - # TODO: Integrate entities from all modalities - # TODO: Integrate relationships from all modalities - # TODO: Resolve cross-modal conflicts - # TODO: Build unified knowledge graph - # TODO: Return multi-modal knowledge graph building results - pass - - def perform_cross_modal_similarity_search(self, query, multimodal_data, **options): - """ - Perform cross-modal similarity search. - - • Process query across modalities - • Generate cross-modal embeddings - • Perform similarity search - • Return cross-modal search results - - Args: - query: Search query - multimodal_data: Multi-modal data to search - **options: Cross-modal search options - - Returns: - dict: Cross-modal search results - """ - # TODO: Process query across modalities - # TODO: Generate cross-modal embeddings - # TODO: Perform similarity search - # TODO: Return cross-modal search results - pass - - -def run_multimodal_processing_example(): - """ - Run the multi-modal processing example. - - This function demonstrates the complete multi-modal processing workflow. - """ - # TODO: Create MultiModalProcessingExample instance - # TODO: Define multi-modal data sources - # TODO: Process multi-modal data - # TODO: Extract cross-modal entities and relationships - # TODO: Build multi-modal knowledge graph - # TODO: Export results - # TODO: Display results - pass - - -def run_text_image_processing_example(): - """ - Run text-image processing example. - - This function demonstrates text-image cross-modal processing. - """ - # TODO: Create MultiModalProcessingExample instance - # TODO: Define text and image data - # TODO: Process text and image data - # TODO: Extract cross-modal entities and relationships - # TODO: Build cross-modal knowledge graph - # TODO: Export results - # TODO: Display results - pass - - -def run_audio_text_processing_example(): - """ - Run audio-text processing example. - - This function demonstrates audio-text cross-modal processing. - """ - # TODO: Create MultiModalProcessingExample instance - # TODO: Define audio and text data - # TODO: Process audio and text data - # TODO: Extract cross-modal entities and relationships - # TODO: Build cross-modal knowledge graph - # TODO: Export results - # TODO: Display results - pass diff --git a/cookbook/basic_examples/__init__.py b/cookbook/basic_examples/__init__.py deleted file mode 100644 index bab5aeb2..00000000 --- a/cookbook/basic_examples/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -""" -Basic Examples - -This module contains basic usage examples for the Semantica framework. - -Examples: - - document_processing_example: Process documents and extract knowledge - - web_scraping_example: Scrape web content and build knowledge base - - knowledge_graph_example: Build and query knowledge graphs - - entity_extraction_example: Extract entities from text - - relationship_extraction_example: Extract relationships between entities -""" - -# from .document_processing_example import DocumentProcessingExample -# from .web_scraping_example import WebScrapingExample -# from .knowledge_graph_example import KnowledgeGraphExample -# from .entity_extraction_example import EntityExtractionExample -# from .relationship_extraction_example import RelationshipExtractionExample diff --git a/cookbook/basic_examples/document_processing_example.py b/cookbook/basic_examples/document_processing_example.py deleted file mode 100644 index 397399ae..00000000 --- a/cookbook/basic_examples/document_processing_example.py +++ /dev/null @@ -1,216 +0,0 @@ -""" -Document Processing Example - -This example demonstrates how to process documents and extract knowledge using Semantica. - -Key Features Demonstrated: - - Document ingestion from various sources - - Document parsing and content extraction - - Text normalization and cleaning - - Entity extraction and relationship detection - - Knowledge graph construction - - Export to various formats - -Use Cases: - - Academic paper processing - - Legal document analysis - - Technical documentation processing - - Research paper knowledge extraction -""" - - -class DocumentProcessingExample: - """ - Document processing example implementation. - - This example shows how to: - • Ingest documents from various sources - • Parse and extract content from different formats - • Normalize and clean text content - • Extract entities and relationships - • Build knowledge graphs - • Export results to various formats - """ - - def __init__(self): - """ - Initialize document processing example. - - • Setup Semantica framework - • Configure document processing pipeline - • Initialize knowledge extraction tools - • Setup export handlers - """ - # TODO: Initialize Semantica framework - # TODO: Setup document processing pipeline - # TODO: Configure entity extraction - # TODO: Setup relationship detection - # TODO: Initialize knowledge graph builder - pass - - def process_documents(self, document_paths, **options): - """ - Process documents and extract knowledge. - - • Ingest documents from specified paths - • Parse documents and extract content - • Normalize and clean text content - • Extract entities and relationships - • Build knowledge graph - • Export results to various formats - - Args: - document_paths: List of document file paths - **options: Additional processing options - - Returns: - dict: Processing results including knowledge graph and metrics - """ - # TODO: Ingest documents using FileIngestor - # TODO: Parse documents using DocumentParser - # TODO: Normalize text using TextNormalizer - # TODO: Extract entities using NamedEntityRecognizer - # TODO: Extract relationships using RelationExtractor - # TODO: Build knowledge graph using KnowledgeGraphBuilder - # TODO: Export results using various exporters - # TODO: Return processing results - pass - - def process_pdf_documents(self, pdf_paths, **options): - """ - Process PDF documents specifically. - - • Handle PDF-specific parsing - • Extract text and metadata - • Process embedded content - • Handle multi-page documents - - Args: - pdf_paths: List of PDF file paths - **options: PDF processing options - - Returns: - dict: PDF processing results - """ - # TODO: Use PDFParser for PDF-specific processing - # TODO: Extract text content and metadata - # TODO: Handle embedded images and tables - # TODO: Process multi-page documents - # TODO: Return PDF processing results - pass - - def process_word_documents(self, docx_paths, **options): - """ - Process Word documents specifically. - - • Handle DOCX-specific parsing - • Extract text and formatting - • Process embedded objects - • Handle document structure - - Args: - docx_paths: List of DOCX file paths - **options: DOCX processing options - - Returns: - dict: DOCX processing results - """ - # TODO: Use DOCXParser for DOCX-specific processing - # TODO: Extract text content and formatting - # TODO: Handle embedded objects and tables - # TODO: Process document structure - # TODO: Return DOCX processing results - pass - - def extract_knowledge(self, processed_documents, **options): - """ - Extract knowledge from processed documents. - - • Extract entities and relationships - • Build knowledge graph - • Identify knowledge patterns - • Generate knowledge insights - - Args: - processed_documents: Processed document data - **options: Knowledge extraction options - - Returns: - dict: Knowledge extraction results - """ - # TODO: Extract entities using NamedEntityRecognizer - # TODO: Extract relationships using RelationExtractor - # TODO: Build knowledge graph using KnowledgeGraphBuilder - # TODO: Identify knowledge patterns - # TODO: Generate knowledge insights - # TODO: Return knowledge extraction results - pass - - def export_results(self, knowledge_graph, export_formats, **options): - """ - Export knowledge graph to various formats. - - • Export to RDF formats - • Export to JSON formats - • Export to CSV formats - • Generate reports - - Args: - knowledge_graph: Knowledge graph to export - export_formats: List of export formats - **options: Export options - - Returns: - dict: Export results - """ - # TODO: Export to RDF using RDFExporter - # TODO: Export to JSON using JSONExporter - # TODO: Export to CSV using CSVExporter - # TODO: Generate reports using ReportGenerator - # TODO: Return export results - pass - - -def run_document_processing_example(): - """ - Run the document processing example. - - This function demonstrates the complete document processing workflow. - """ - # TODO: Create DocumentProcessingExample instance - # TODO: Define document paths - # TODO: Process documents - # TODO: Extract knowledge - # TODO: Export results - # TODO: Display results - pass - - -def run_pdf_processing_example(): - """ - Run PDF document processing example. - - This function demonstrates PDF-specific processing. - """ - # TODO: Create DocumentProcessingExample instance - # TODO: Define PDF document paths - # TODO: Process PDF documents - # TODO: Extract knowledge from PDFs - # TODO: Export PDF processing results - # TODO: Display results - pass - - -def run_word_processing_example(): - """ - Run Word document processing example. - - This function demonstrates DOCX-specific processing. - """ - # TODO: Create DocumentProcessingExample instance - # TODO: Define DOCX document paths - # TODO: Process DOCX documents - # TODO: Extract knowledge from DOCX files - # TODO: Export DOCX processing results - # TODO: Display results - pass diff --git a/cookbook/basic_examples/knowledge_graph_example.py b/cookbook/basic_examples/knowledge_graph_example.py deleted file mode 100644 index 386bba13..00000000 --- a/cookbook/basic_examples/knowledge_graph_example.py +++ /dev/null @@ -1,295 +0,0 @@ -""" -Knowledge Graph Example - -This example demonstrates how to build and query knowledge graphs using Semantica. - -Key Features Demonstrated: - - Knowledge graph construction - - Entity resolution and deduplication - - Relationship extraction and validation - - Graph analytics and centrality measures - - Knowledge graph querying - - Graph visualization and export - -Use Cases: - - Enterprise knowledge management - - Research knowledge organization - - Domain-specific knowledge graphs - - Knowledge discovery and exploration - - Knowledge graph analytics -""" - - -class KnowledgeGraphExample: - """ - Knowledge graph example implementation. - - This example shows how to: - • Build knowledge graphs from various data sources - • Resolve entities and handle deduplication - • Extract and validate relationships - • Perform graph analytics and centrality analysis - • Query knowledge graphs - • Export and visualize graphs - """ - - def __init__(self): - """ - Initialize knowledge graph example. - - • Setup Semantica framework - • Configure knowledge graph builder - • Initialize entity resolution - • Setup relationship extraction - • Configure graph analytics - • Setup query engines - """ - # TODO: Initialize Semantica framework - # TODO: Setup KnowledgeGraphBuilder - # TODO: Configure EntityResolver - # TODO: Setup RelationExtractor - # TODO: Initialize GraphAnalyzer - # TODO: Setup query engines - pass - - def build_knowledge_graph(self, data_sources, **options): - """ - Build knowledge graph from data sources. - - • Process data from various sources - • Extract entities and relationships - • Resolve entity duplicates - • Build knowledge graph structure - • Validate graph consistency - • Return knowledge graph - - Args: - data_sources: List of data sources to process - **options: Knowledge graph building options - - Returns: - dict: Knowledge graph building results - """ - # TODO: Process data sources using appropriate ingestors - # TODO: Extract entities using NamedEntityRecognizer - # TODO: Extract relationships using RelationExtractor - # TODO: Resolve entities using EntityResolver - # TODO: Build knowledge graph using KnowledgeGraphBuilder - # TODO: Validate graph consistency - # TODO: Return knowledge graph - pass - - def resolve_entities(self, entities, **options): - """ - Resolve entity duplicates and conflicts. - - • Identify duplicate entities - • Resolve entity conflicts - • Merge duplicate entities - • Update entity references - • Return resolved entities - - Args: - entities: List of entities to resolve - **options: Entity resolution options - - Returns: - dict: Entity resolution results - """ - # TODO: Use EntityResolver to identify duplicates - # TODO: Resolve entity conflicts - # TODO: Merge duplicate entities - # TODO: Update entity references - # TODO: Return resolved entities - pass - - def extract_relationships(self, entities, text_content, **options): - """ - Extract relationships between entities. - - • Process text content for relationships - • Extract relationships between entities - • Validate relationship quality - • Classify relationship types - • Return relationship extraction results - - Args: - entities: List of entities - text_content: Text content to process - **options: Relationship extraction options - - Returns: - dict: Relationship extraction results - """ - # TODO: Use RelationExtractor to extract relationships - # TODO: Validate relationship quality - # TODO: Classify relationship types - # TODO: Return relationship extraction results - pass - - def analyze_graph_centrality(self, knowledge_graph, **options): - """ - Analyze graph centrality measures. - - • Calculate degree centrality - • Calculate betweenness centrality - • Calculate closeness centrality - • Calculate eigenvector centrality - • Return centrality analysis results - - Args: - knowledge_graph: Knowledge graph to analyze - **options: Centrality analysis options - - Returns: - dict: Centrality analysis results - """ - # TODO: Use GraphAnalyzer to calculate centrality measures - # TODO: Calculate degree centrality - # TODO: Calculate betweenness centrality - # TODO: Calculate closeness centrality - # TODO: Calculate eigenvector centrality - # TODO: Return centrality analysis results - pass - - def detect_communities(self, knowledge_graph, **options): - """ - Detect communities in knowledge graph. - - • Apply community detection algorithms - • Identify community structures - • Calculate community metrics - • Handle overlapping communities - • Return community detection results - - Args: - knowledge_graph: Knowledge graph to analyze - **options: Community detection options - - Returns: - dict: Community detection results - """ - # TODO: Use GraphAnalyzer to detect communities - # TODO: Apply community detection algorithms - # TODO: Identify community structures - # TODO: Calculate community metrics - # TODO: Return community detection results - pass - - def analyze_connectivity(self, knowledge_graph, **options): - """ - Analyze graph connectivity and structure. - - • Calculate connectivity metrics - • Identify connected components - • Analyze path lengths and distances - • Detect bottlenecks and bridges - • Return connectivity analysis - - Args: - knowledge_graph: Knowledge graph to analyze - **options: Connectivity analysis options - - Returns: - dict: Connectivity analysis results - """ - # TODO: Use GraphAnalyzer to analyze connectivity - # TODO: Calculate connectivity metrics - # TODO: Identify connected components - # TODO: Analyze path lengths and distances - # TODO: Detect bottlenecks and bridges - # TODO: Return connectivity analysis results - pass - - def query_knowledge_graph(self, knowledge_graph, query, **options): - """ - Query knowledge graph using various query languages. - - • Process SPARQL queries - • Process natural language queries - • Process graph traversal queries - • Return query results - - Args: - knowledge_graph: Knowledge graph to query - query: Query to execute - **options: Query options - - Returns: - dict: Query results - """ - # TODO: Use query engines to process queries - # TODO: Process SPARQL queries - # TODO: Process natural language queries - # TODO: Process graph traversal queries - # TODO: Return query results - pass - - def export_knowledge_graph(self, knowledge_graph, export_formats, **options): - """ - Export knowledge graph to various formats. - - • Export to RDF formats - • Export to JSON formats - • Export to graph formats - • Generate visualization files - - Args: - knowledge_graph: Knowledge graph to export - export_formats: List of export formats - **options: Export options - - Returns: - dict: Export results - """ - # TODO: Use various exporters to export knowledge graph - # TODO: Export to RDF formats using RDFExporter - # TODO: Export to JSON formats using JSONExporter - # TODO: Export to graph formats using GraphExporter - # TODO: Generate visualization files - # TODO: Return export results - pass - - -def run_knowledge_graph_example(): - """ - Run the knowledge graph example. - - This function demonstrates the complete knowledge graph workflow. - """ - # TODO: Create KnowledgeGraphExample instance - # TODO: Define data sources - # TODO: Build knowledge graph - # TODO: Analyze graph properties - # TODO: Query knowledge graph - # TODO: Export results - # TODO: Display results - pass - - -def run_centrality_analysis_example(): - """ - Run centrality analysis example. - - This function demonstrates graph centrality analysis. - """ - # TODO: Create KnowledgeGraphExample instance - # TODO: Build knowledge graph - # TODO: Analyze centrality measures - # TODO: Display centrality results - # TODO: Export centrality analysis - pass - - -def run_community_detection_example(): - """ - Run community detection example. - - This function demonstrates community detection in knowledge graphs. - """ - # TODO: Create KnowledgeGraphExample instance - # TODO: Build knowledge graph - # TODO: Detect communities - # TODO: Display community results - # TODO: Export community analysis - pass diff --git a/cookbook/basic_examples/web_scraping_example.py b/cookbook/basic_examples/web_scraping_example.py deleted file mode 100644 index 06333756..00000000 --- a/cookbook/basic_examples/web_scraping_example.py +++ /dev/null @@ -1,266 +0,0 @@ -""" -Web Scraping Example - -This example demonstrates how to scrape web content and build knowledge bases using Semantica. - -Key Features Demonstrated: - - Web content scraping and crawling - - HTML content parsing and cleaning - - Web content normalization - - Entity extraction from web content - - Relationship detection in web content - - Knowledge base construction from web data - -Use Cases: - - News article processing - - Blog post analysis - - Website content extraction - - Social media content processing - - E-commerce product information extraction -""" - - -class WebScrapingExample: - """ - Web scraping example implementation. - - This example shows how to: - • Scrape web content from various sources - • Parse HTML content and extract text - • Normalize and clean web content - • Extract entities and relationships - • Build knowledge bases from web data - • Handle different web content types - """ - - def __init__(self): - """ - Initialize web scraping example. - - • Setup Semantica framework - • Configure web scraping tools - • Initialize content parsing - • Setup knowledge extraction - • Configure export handlers - """ - # TODO: Initialize Semantica framework - # TODO: Setup WebIngestor for web scraping - # TODO: Configure HTML parsing - # TODO: Setup content normalization - # TODO: Initialize entity extraction - # TODO: Setup relationship detection - pass - - def scrape_website(self, website_url, **options): - """ - Scrape content from a website. - - • Scrape web content from specified URL - • Parse HTML content and extract text - • Normalize and clean content - • Extract entities and relationships - • Build knowledge base - • Export results - - Args: - website_url: URL of website to scrape - **options: Scraping options - - Returns: - dict: Scraping results including knowledge base - """ - # TODO: Use WebIngestor to scrape website - # TODO: Parse HTML content using WebParser - # TODO: Normalize content using TextNormalizer - # TODO: Extract entities using NamedEntityRecognizer - # TODO: Extract relationships using RelationExtractor - # TODO: Build knowledge base - # TODO: Return scraping results - pass - - def scrape_multiple_pages(self, page_urls, **options): - """ - Scrape content from multiple web pages. - - • Scrape multiple pages concurrently - • Process each page individually - • Aggregate results from all pages - • Build comprehensive knowledge base - - Args: - page_urls: List of page URLs to scrape - **options: Scraping options - - Returns: - dict: Aggregated scraping results - """ - # TODO: Use WebIngestor to scrape multiple pages - # TODO: Process each page concurrently - # TODO: Aggregate results from all pages - # TODO: Build comprehensive knowledge base - # TODO: Return aggregated results - pass - - def scrape_with_sitemap(self, sitemap_url, **options): - """ - Scrape website using sitemap. - - • Parse sitemap to get page URLs - • Scrape all pages in sitemap - • Process sitemap structure - • Build comprehensive knowledge base - - Args: - sitemap_url: URL of website sitemap - **options: Scraping options - - Returns: - dict: Sitemap-based scraping results - """ - # TODO: Use SitemapCrawler to parse sitemap - # TODO: Extract page URLs from sitemap - # TODO: Scrape all pages in sitemap - # TODO: Process sitemap structure - # TODO: Build comprehensive knowledge base - # TODO: Return sitemap-based results - pass - - def process_news_articles(self, news_urls, **options): - """ - Process news articles from web sources. - - • Scrape news article content - • Extract article metadata - • Process article text content - • Extract entities and relationships - • Build news knowledge base - - Args: - news_urls: List of news article URLs - **options: News processing options - - Returns: - dict: News processing results - """ - # TODO: Scrape news article content - # TODO: Extract article metadata (title, date, author) - # TODO: Process article text content - # TODO: Extract entities and relationships - # TODO: Build news knowledge base - # TODO: Return news processing results - pass - - def process_blog_posts(self, blog_urls, **options): - """ - Process blog posts from web sources. - - • Scrape blog post content - • Extract post metadata - • Process post text content - • Extract entities and relationships - • Build blog knowledge base - - Args: - blog_urls: List of blog post URLs - **options: Blog processing options - - Returns: - dict: Blog processing results - """ - # TODO: Scrape blog post content - # TODO: Extract post metadata (title, date, author, tags) - # TODO: Process post text content - # TODO: Extract entities and relationships - # TODO: Build blog knowledge base - # TODO: Return blog processing results - pass - - def extract_web_entities(self, web_content, **options): - """ - Extract entities from web content. - - • Process web content for entity extraction - • Extract named entities - • Classify entity types - • Handle entity disambiguation - - Args: - web_content: Web content to process - **options: Entity extraction options - - Returns: - dict: Entity extraction results - """ - # TODO: Use NamedEntityRecognizer to extract entities - # TODO: Classify entity types - # TODO: Handle entity disambiguation - # TODO: Return entity extraction results - pass - - def extract_web_relationships(self, web_content, entities, **options): - """ - Extract relationships from web content. - - • Process web content for relationship extraction - • Extract relationships between entities - • Classify relationship types - • Handle relationship disambiguation - - Args: - web_content: Web content to process - entities: Extracted entities - **options: Relationship extraction options - - Returns: - dict: Relationship extraction results - """ - # TODO: Use RelationExtractor to extract relationships - # TODO: Classify relationship types - # TODO: Handle relationship disambiguation - # TODO: Return relationship extraction results - pass - - -def run_web_scraping_example(): - """ - Run the web scraping example. - - This function demonstrates the complete web scraping workflow. - """ - # TODO: Create WebScrapingExample instance - # TODO: Define website URLs to scrape - # TODO: Scrape website content - # TODO: Extract knowledge from web content - # TODO: Export results - # TODO: Display results - pass - - -def run_news_scraping_example(): - """ - Run news article scraping example. - - This function demonstrates news article processing. - """ - # TODO: Create WebScrapingExample instance - # TODO: Define news article URLs - # TODO: Scrape news articles - # TODO: Extract knowledge from news - # TODO: Export news processing results - # TODO: Display results - pass - - -def run_blog_scraping_example(): - """ - Run blog post scraping example. - - This function demonstrates blog post processing. - """ - # TODO: Create WebScrapingExample instance - # TODO: Define blog post URLs - # TODO: Scrape blog posts - # TODO: Extract knowledge from blog posts - # TODO: Export blog processing results - # TODO: Display results - pass diff --git a/cookbook/examples/01_quick_start/__init__.py b/cookbook/examples/01_quick_start/__init__.py deleted file mode 100644 index bbec2b46..00000000 --- a/cookbook/examples/01_quick_start/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Quick start examples for Semantica framework. - -This module contains basic examples to get started -with the Semantica framework. -""" diff --git a/cookbook/examples/01_quick_start/knowledge_graph_101.py b/cookbook/examples/01_quick_start/knowledge_graph_101.py deleted file mode 100644 index 5a9e5c7b..00000000 --- a/cookbook/examples/01_quick_start/knowledge_graph_101.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Knowledge graph 101 example for Semantica framework. - -This example demonstrates basic knowledge graph construction -using the Semantica framework. -""" - -# TODO: Implement knowledge graph 101 example -# - Basic knowledge graph construction -# - Entity and relationship extraction -# - Graph visualization and analysis -# - Example usage and documentation -# - Performance optimization tips -# - Best practices and guidelines diff --git a/cookbook/examples/01_quick_start/semantic_search.py b/cookbook/examples/01_quick_start/semantic_search.py deleted file mode 100644 index 1bede2fa..00000000 --- a/cookbook/examples/01_quick_start/semantic_search.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Semantic search example for Semantica framework. - -This example demonstrates basic semantic search -using the Semantica framework. -""" - -# TODO: Implement semantic search example -# - Basic semantic search implementation -# - Vector similarity search -# - Query processing and ranking -# - Example usage and documentation -# - Performance optimization tips -# - Advanced search features diff --git a/cookbook/examples/01_quick_start/simple_processing.py b/cookbook/examples/01_quick_start/simple_processing.py deleted file mode 100644 index 64e97ea2..00000000 --- a/cookbook/examples/01_quick_start/simple_processing.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Simple document processing example for Semantica framework. - -This example demonstrates basic document processing -using the Semantica framework. -""" - -# TODO: Implement simple processing example -# - Basic document ingestion and parsing -# - Text normalization and cleaning -# - Simple semantic extraction -# - Basic knowledge graph construction -# - Example usage and documentation -# - Performance optimization tips diff --git a/cookbook/examples/02_document_processing/__init__.py b/cookbook/examples/02_document_processing/__init__.py deleted file mode 100644 index da2726f0..00000000 --- a/cookbook/examples/02_document_processing/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Document processing examples for Semantica framework. - -This module contains examples for processing various -document formats using the Semantica framework. -""" diff --git a/cookbook/examples/02_document_processing/multi_format.py b/cookbook/examples/02_document_processing/multi_format.py deleted file mode 100644 index 94c7c7d1..00000000 --- a/cookbook/examples/02_document_processing/multi_format.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Multi-format processing example for Semantica framework. - -This example demonstrates processing multiple document formats -using the Semantica framework. -""" - -# TODO: Implement multi-format processing example -# - Multiple document format processing -# - Format detection and routing -# - Unified processing pipeline -# - Example usage and documentation -# - Performance optimization tips -# - Advanced multi-format features diff --git a/cookbook/examples/02_document_processing/office_documents.py b/cookbook/examples/02_document_processing/office_documents.py deleted file mode 100644 index 5cadcd3e..00000000 --- a/cookbook/examples/02_document_processing/office_documents.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Office documents example for Semantica framework. - -This example demonstrates processing of DOCX, XLSX, and PPTX -documents using the Semantica framework. -""" - -# TODO: Implement office documents example -# - DOCX, XLSX, and PPTX processing -# - Document structure extraction -# - Content and formatting preservation -# - Example usage and documentation -# - Performance optimization tips -# - Advanced document features diff --git a/cookbook/examples/02_document_processing/pdf_extraction.py b/cookbook/examples/02_document_processing/pdf_extraction.py deleted file mode 100644 index 2458c4fc..00000000 --- a/cookbook/examples/02_document_processing/pdf_extraction.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -PDF extraction example for Semantica framework. - -This example demonstrates PDF document processing -using the Semantica framework. -""" - -# TODO: Implement PDF extraction example -# - PDF document ingestion and parsing -# - Text and table extraction -# - Image and OCR processing -# - Metadata extraction -# - Example usage and documentation -# - Performance optimization tips diff --git a/cookbook/examples/03_knowledge_graphs/__init__.py b/cookbook/examples/03_knowledge_graphs/__init__.py deleted file mode 100644 index c52082a7..00000000 --- a/cookbook/examples/03_knowledge_graphs/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Knowledge graphs examples for Semantica framework. - -This module contains examples for building and managing -knowledge graphs using the Semantica framework. -""" diff --git a/cookbook/examples/03_knowledge_graphs/building_kg.py b/cookbook/examples/03_knowledge_graphs/building_kg.py deleted file mode 100644 index 3f04611f..00000000 --- a/cookbook/examples/03_knowledge_graphs/building_kg.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Building knowledge graph example for Semantica framework. - -This example demonstrates complete knowledge graph construction -using the Semantica framework. -""" - -# TODO: Implement building knowledge graph example -# - Complete knowledge graph construction -# - Entity and relationship extraction -# - Graph building and optimization -# - Example usage and documentation -# - Performance optimization tips -# - Advanced graph features diff --git a/cookbook/examples/03_knowledge_graphs/conflict_detection.py b/cookbook/examples/03_knowledge_graphs/conflict_detection.py deleted file mode 100644 index 602c6945..00000000 --- a/cookbook/examples/03_knowledge_graphs/conflict_detection.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Conflict detection example for Semantica framework. - -This example demonstrates handling conflicts and inconsistencies -in knowledge graphs using the Semantica framework. -""" - -# TODO: Implement conflict detection example -# - Conflict identification and detection -# - Inconsistency resolution strategies -# - Conflict resolution and merging -# - Example usage and documentation -# - Performance optimization tips -# - Advanced conflict handling diff --git a/cookbook/examples/03_knowledge_graphs/entity_resolution.py b/cookbook/examples/03_knowledge_graphs/entity_resolution.py deleted file mode 100644 index 083b4e63..00000000 --- a/cookbook/examples/03_knowledge_graphs/entity_resolution.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Entity resolution example for Semantica framework. - -This example demonstrates entity disambiguation and resolution -using the Semantica framework. -""" - -# TODO: Implement entity resolution example -# - Entity disambiguation and resolution -# - Similarity-based entity matching -# - Entity merging and consolidation -# - Example usage and documentation -# - Performance optimization tips -# - Advanced resolution techniques diff --git a/cookbook/examples/04_semantic_search/__init__.py b/cookbook/examples/04_semantic_search/__init__.py deleted file mode 100644 index 96658bac..00000000 --- a/cookbook/examples/04_semantic_search/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Semantic search examples for Semantica framework. - -This module contains examples for implementing semantic search -using the Semantica framework. -""" diff --git a/cookbook/examples/04_semantic_search/hybrid_search.py b/cookbook/examples/04_semantic_search/hybrid_search.py deleted file mode 100644 index 86bea3c6..00000000 --- a/cookbook/examples/04_semantic_search/hybrid_search.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Hybrid search example for Semantica framework. - -This example demonstrates combined vector and metadata search -using the Semantica framework. -""" - -# TODO: Implement hybrid search example -# - Combined vector and metadata search -# - Result fusion and ranking -# - Advanced search strategies -# - Example usage and documentation -# - Performance optimization tips -# - Advanced hybrid features diff --git a/cookbook/examples/04_semantic_search/rag_pipeline.py b/cookbook/examples/04_semantic_search/rag_pipeline.py deleted file mode 100644 index a856bc87..00000000 --- a/cookbook/examples/04_semantic_search/rag_pipeline.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -RAG pipeline example for Semantica framework. - -This example demonstrates RAG (Retrieval-Augmented Generation) -implementation using the Semantica framework. -""" - -# TODO: Implement RAG pipeline example -# - RAG pipeline implementation -# - Document retrieval and generation -# - LLM integration and optimization -# - Example usage and documentation -# - Performance optimization tips -# - Advanced RAG features diff --git a/cookbook/examples/04_semantic_search/vector_search.py b/cookbook/examples/04_semantic_search/vector_search.py deleted file mode 100644 index cefab88e..00000000 --- a/cookbook/examples/04_semantic_search/vector_search.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Vector search example for Semantica framework. - -This example demonstrates vector similarity search -using the Semantica framework. -""" - -# TODO: Implement vector search example -# - Vector similarity search implementation -# - Embedding generation and indexing -# - Search optimization and ranking -# - Example usage and documentation -# - Performance optimization tips -# - Advanced search features diff --git a/cookbook/examples/05_real_time_streams/__init__.py b/cookbook/examples/05_real_time_streams/__init__.py deleted file mode 100644 index 475d519b..00000000 --- a/cookbook/examples/05_real_time_streams/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Real-time streams examples for Semantica framework. - -This module contains examples for real-time stream processing -using the Semantica framework. -""" diff --git a/cookbook/examples/05_real_time_streams/feed_monitoring.py b/cookbook/examples/05_real_time_streams/feed_monitoring.py deleted file mode 100644 index e87810b6..00000000 --- a/cookbook/examples/05_real_time_streams/feed_monitoring.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Feed monitoring example for Semantica framework. - -This example demonstrates RSS feed monitoring -using the Semantica framework. -""" - -# TODO: Implement feed monitoring example -# - RSS feed monitoring implementation -# - Real-time feed processing and analysis -# - Change detection and notification -# - Example usage and documentation -# - Performance optimization tips -# - Advanced monitoring features diff --git a/cookbook/examples/05_real_time_streams/kafka_processing.py b/cookbook/examples/05_real_time_streams/kafka_processing.py deleted file mode 100644 index 59c9c566..00000000 --- a/cookbook/examples/05_real_time_streams/kafka_processing.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Kafka processing example for Semantica framework. - -This example demonstrates Kafka stream processing -using the Semantica framework. -""" - -# TODO: Implement Kafka processing example -# - Kafka stream processing implementation -# - Real-time data ingestion and processing -# - Stream analytics and monitoring -# - Example usage and documentation -# - Performance optimization tips -# - Advanced Kafka features diff --git a/cookbook/examples/05_real_time_streams/web_monitoring.py b/cookbook/examples/05_real_time_streams/web_monitoring.py deleted file mode 100644 index 2dcb07db..00000000 --- a/cookbook/examples/05_real_time_streams/web_monitoring.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Web monitoring example for Semantica framework. - -This example demonstrates website change detection -using the Semantica framework. -""" - -# TODO: Implement web monitoring example -# - Website change detection implementation -# - Real-time web content monitoring -# - Change analysis and notification -# - Example usage and documentation -# - Performance optimization tips -# - Advanced web monitoring features diff --git a/cookbook/examples/__init__.py b/cookbook/examples/__init__.py deleted file mode 100644 index 93641a2f..00000000 --- a/cookbook/examples/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Examples module for Semantica framework. - -This module contains example implementations and tutorials -for using the Semantica framework. -""" diff --git a/cookbook/notebooks/__init__.py b/cookbook/notebooks/__init__.py deleted file mode 100644 index bd67f6fd..00000000 --- a/cookbook/notebooks/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Jupyter notebooks module for Semantica framework. - -This module contains Jupyter notebooks for tutorials -and experiments with the Semantica framework. -""" diff --git a/cookbook/notebooks/experiment_custom_parsers.ipynb b/cookbook/notebooks/experiment_custom_parsers.ipynb deleted file mode 100644 index 7459ba09..00000000 --- a/cookbook/notebooks/experiment_custom_parsers.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Custom Parser Development with Semantica Framework\n", - "\n", - "This notebook demonstrates custom parser development\n", - "using the Semantica framework.\n", - "\n", - "## TODO: Implement custom parser experiment\n", - "- Custom parser development concepts\n", - "- Parser interface and implementation\n", - "- Parser testing and validation\n", - "- Performance optimization tips\n", - "- Advanced parser features\n", - "- Integration and deployment\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/experiment_reasoning.ipynb b/cookbook/notebooks/experiment_reasoning.ipynb deleted file mode 100644 index 747697cb..00000000 --- a/cookbook/notebooks/experiment_reasoning.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Reasoning Experiments with Semantica Framework\n", - "\n", - "This notebook demonstrates reasoning and inference capabilities\n", - "of the Semantica framework.\n", - "\n", - "## TODO: Implement reasoning experiment\n", - "- Reasoning and inference concepts\n", - "- Rule-based reasoning implementation\n", - "- SPARQL-based reasoning\n", - "- Performance optimization tips\n", - "- Advanced reasoning features\n", - "- Reasoning evaluation and testing\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/tutorial_01_getting_started.ipynb b/cookbook/notebooks/tutorial_01_getting_started.ipynb deleted file mode 100644 index 76c18fdd..00000000 --- a/cookbook/notebooks/tutorial_01_getting_started.ipynb +++ /dev/null @@ -1,28 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Getting Started with Semantica Framework\n", - "\n", - "This notebook provides an introduction to the Semantica framework\n", - "and demonstrates basic usage patterns.\n", - "\n", - "## TODO: Implement getting started tutorial\n", - "- Introduction to Semantica framework\n", - "- Basic installation and setup\n", - "- Simple examples and use cases\n", - "- Performance optimization tips\n", - "- Next steps and resources\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/tutorial_02_data_ingestion.ipynb b/cookbook/notebooks/tutorial_02_data_ingestion.ipynb deleted file mode 100644 index 44389112..00000000 --- a/cookbook/notebooks/tutorial_02_data_ingestion.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data Ingestion with Semantica Framework\n", - "\n", - "This notebook demonstrates data ingestion capabilities\n", - "of the Semantica framework.\n", - "\n", - "## TODO: Implement data ingestion tutorial\n", - "- Data ingestion overview and concepts\n", - "- File system and cloud storage ingestion\n", - "- Web scraping and feed processing\n", - "- Real-time stream ingestion\n", - "- Performance optimization tips\n", - "- Advanced ingestion features\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/tutorial_03_semantic_extraction.ipynb b/cookbook/notebooks/tutorial_03_semantic_extraction.ipynb deleted file mode 100644 index b4d761c3..00000000 --- a/cookbook/notebooks/tutorial_03_semantic_extraction.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Semantic Extraction with Semantica Framework\n", - "\n", - "This notebook demonstrates semantic extraction capabilities\n", - "of the Semantica framework.\n", - "\n", - "## TODO: Implement semantic extraction tutorial\n", - "- Semantic extraction overview and concepts\n", - "- Named entity recognition and classification\n", - "- Relationship extraction and analysis\n", - "- Event detection and processing\n", - "- Performance optimization tips\n", - "- Advanced extraction features\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/tutorial_04_knowledge_graphs.ipynb b/cookbook/notebooks/tutorial_04_knowledge_graphs.ipynb deleted file mode 100644 index 58a7a93c..00000000 --- a/cookbook/notebooks/tutorial_04_knowledge_graphs.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Knowledge Graphs with Semantica Framework\n", - "\n", - "This notebook demonstrates knowledge graph construction\n", - "using the Semantica framework.\n", - "\n", - "## TODO: Implement knowledge graphs tutorial\n", - "- Knowledge graph overview and concepts\n", - "- Graph construction and management\n", - "- Entity resolution and deduplication\n", - "- Graph analysis and visualization\n", - "- Performance optimization tips\n", - "- Advanced graph features\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/tutorial_05_embeddings.ipynb b/cookbook/notebooks/tutorial_05_embeddings.ipynb deleted file mode 100644 index 7bafd5c4..00000000 --- a/cookbook/notebooks/tutorial_05_embeddings.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Embeddings and Search with Semantica Framework\n", - "\n", - "This notebook demonstrates embeddings and search capabilities\n", - "of the Semantica framework.\n", - "\n", - "## TODO: Implement embeddings tutorial\n", - "- Embeddings overview and concepts\n", - "- Text and image embedding generation\n", - "- Vector similarity search\n", - "- Hybrid search strategies\n", - "- Performance optimization tips\n", - "- Advanced embedding features\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/notebooks/tutorial_06_advanced_pipelines.ipynb b/cookbook/notebooks/tutorial_06_advanced_pipelines.ipynb deleted file mode 100644 index 9e260228..00000000 --- a/cookbook/notebooks/tutorial_06_advanced_pipelines.ipynb +++ /dev/null @@ -1,29 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Advanced Pipelines with Semantica Framework\n", - "\n", - "This notebook demonstrates advanced pipeline capabilities\n", - "of the Semantica framework.\n", - "\n", - "## TODO: Implement advanced pipelines tutorial\n", - "- Advanced pipeline concepts and patterns\n", - "- Pipeline construction and orchestration\n", - "- Parallel and distributed processing\n", - "- Error handling and recovery\n", - "- Performance optimization tips\n", - "- Advanced pipeline features\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/cookbook/use_cases/__init__.py b/cookbook/use_cases/__init__.py deleted file mode 100644 index 78c00b1f..00000000 --- a/cookbook/use_cases/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Use cases module for Semantica framework. - -This module contains domain-specific use cases and examples -for the Semantica framework. -""" diff --git a/cookbook/use_cases/cybersecurity/__init__.py b/cookbook/use_cases/cybersecurity/__init__.py deleted file mode 100644 index a7dcb04f..00000000 --- a/cookbook/use_cases/cybersecurity/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Cybersecurity use cases for Semantica framework. - -This module contains cybersecurity-specific examples and use cases -for the Semantica framework. -""" diff --git a/cookbook/use_cases/cybersecurity/incident_analysis.py b/cookbook/use_cases/cybersecurity/incident_analysis.py deleted file mode 100644 index 43e5dbcb..00000000 --- a/cookbook/use_cases/cybersecurity/incident_analysis.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Incident analysis example for Semantica framework. - -This example demonstrates security incident analysis -using the Semantica framework. -""" - -# TODO: Implement incident analysis example -# - Security incident processing and analysis -# - Incident entity extraction and classification -# - Incident correlation and insights -# - Example usage and documentation -# - Performance optimization tips -# - Advanced incident analysis features diff --git a/cookbook/use_cases/cybersecurity/threat_intelligence.py b/cookbook/use_cases/cybersecurity/threat_intelligence.py deleted file mode 100644 index 03f8107f..00000000 --- a/cookbook/use_cases/cybersecurity/threat_intelligence.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Threat intelligence example for Semantica framework. - -This example demonstrates threat intelligence processing -using the Semantica framework. -""" - -# TODO: Implement threat intelligence example -# - Threat report processing and analysis -# - Threat entity extraction and classification -# - Threat intelligence synthesis and insights -# - Example usage and documentation -# - Performance optimization tips -# - Advanced threat intelligence features diff --git a/cookbook/use_cases/cybersecurity/vulnerability_tracking.py b/cookbook/use_cases/cybersecurity/vulnerability_tracking.py deleted file mode 100644 index e7abfbb3..00000000 --- a/cookbook/use_cases/cybersecurity/vulnerability_tracking.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Vulnerability tracking example for Semantica framework. - -This example demonstrates vulnerability tracking -using the Semantica framework. -""" - -# TODO: Implement vulnerability tracking example -# - CVE database integration and processing -# - Vulnerability entity extraction and classification -# - Vulnerability tracking and monitoring -# - Example usage and documentation -# - Performance optimization tips -# - Advanced vulnerability features diff --git a/cookbook/use_cases/finance/__init__.py b/cookbook/use_cases/finance/__init__.py deleted file mode 100644 index 74234a0e..00000000 --- a/cookbook/use_cases/finance/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Finance use cases for Semantica framework. - -This module contains finance-specific examples and use cases -for the Semantica framework. -""" diff --git a/cookbook/use_cases/finance/financial_reports.py b/cookbook/use_cases/finance/financial_reports.py deleted file mode 100644 index ecbad773..00000000 --- a/cookbook/use_cases/finance/financial_reports.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Financial reports processing example for Semantica framework. - -This example demonstrates processing financial reports -using the Semantica framework. -""" - -# TODO: Implement financial reports processing -# - Financial document analysis and processing -# - Financial entity and relationship extraction -# - Report insights and analytics -# - Example usage and documentation -# - Performance optimization tips -# - Advanced financial features diff --git a/cookbook/use_cases/finance/market_intelligence.py b/cookbook/use_cases/finance/market_intelligence.py deleted file mode 100644 index a1d008e4..00000000 --- a/cookbook/use_cases/finance/market_intelligence.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Market intelligence example for Semantica framework. - -This example demonstrates market intelligence processing -using the Semantica framework. -""" - -# TODO: Implement market intelligence example -# - News and market data processing -# - Market trend analysis and insights -# - Financial entity extraction and classification -# - Example usage and documentation -# - Performance optimization tips -# - Advanced market intelligence features diff --git a/cookbook/use_cases/finance/regulatory_compliance.py b/cookbook/use_cases/finance/regulatory_compliance.py deleted file mode 100644 index 36552cbc..00000000 --- a/cookbook/use_cases/finance/regulatory_compliance.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Regulatory compliance example for Semantica framework. - -This example demonstrates regulatory compliance monitoring -using the Semantica framework. -""" - -# TODO: Implement regulatory compliance example -# - Regulatory document processing and analysis -# - Compliance monitoring and reporting -# - Regulatory entity extraction and tracking -# - Example usage and documentation -# - Performance optimization tips -# - Advanced compliance features diff --git a/cookbook/use_cases/healthcare/__init__.py b/cookbook/use_cases/healthcare/__init__.py deleted file mode 100644 index 8400fff7..00000000 --- a/cookbook/use_cases/healthcare/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Healthcare use cases for Semantica framework. - -This module contains healthcare-specific examples and use cases -for the Semantica framework. -""" diff --git a/cookbook/use_cases/healthcare/clinical_reports.py b/cookbook/use_cases/healthcare/clinical_reports.py deleted file mode 100644 index de283395..00000000 --- a/cookbook/use_cases/healthcare/clinical_reports.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Clinical reports processing example for Semantica framework. - -This example demonstrates processing clinical reports -using the Semantica framework. -""" - -# TODO: Implement clinical reports processing -# - Clinical report analysis and processing -# - Medical entity and relationship extraction -# - Report summarization and insights -# - Example usage and documentation -# - Performance optimization tips -# - Advanced clinical features diff --git a/cookbook/use_cases/healthcare/drug_interactions.py b/cookbook/use_cases/healthcare/drug_interactions.py deleted file mode 100644 index ab52692c..00000000 --- a/cookbook/use_cases/healthcare/drug_interactions.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Drug interactions example for Semantica framework. - -This example demonstrates drug interaction detection -using the Semantica framework. -""" - -# TODO: Implement drug interactions example -# - Drug interaction detection and analysis -# - Pharmacological relationship extraction -# - Interaction risk assessment -# - Example usage and documentation -# - Performance optimization tips -# - Advanced drug interaction features diff --git a/cookbook/use_cases/healthcare/medical_literature.py b/cookbook/use_cases/healthcare/medical_literature.py deleted file mode 100644 index 3635feeb..00000000 --- a/cookbook/use_cases/healthcare/medical_literature.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Medical literature processing example for Semantica framework. - -This example demonstrates processing medical literature -using the Semantica framework. -""" - -# TODO: Implement medical literature processing -# - PubMed data processing and analysis -# - Medical entity extraction and classification -# - Literature review and synthesis -# - Example usage and documentation -# - Performance optimization tips -# - Advanced medical features diff --git a/cookbook/use_cases/legal/__init__.py b/cookbook/use_cases/legal/__init__.py deleted file mode 100644 index 688e4987..00000000 --- a/cookbook/use_cases/legal/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Legal use cases for Semantica framework. - -This module contains legal-specific examples and use cases -for the Semantica framework. -""" diff --git a/cookbook/use_cases/legal/case_law.py b/cookbook/use_cases/legal/case_law.py deleted file mode 100644 index b86848ec..00000000 --- a/cookbook/use_cases/legal/case_law.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Case law processing example for Semantica framework. - -This example demonstrates legal case processing -using the Semantica framework. -""" - -# TODO: Implement case law processing -# - Legal case processing and analysis -# - Legal entity extraction and classification -# - Case law insights and analytics -# - Example usage and documentation -# - Performance optimization tips -# - Advanced legal features diff --git a/cookbook/use_cases/legal/contract_analysis.py b/cookbook/use_cases/legal/contract_analysis.py deleted file mode 100644 index 50d3b50e..00000000 --- a/cookbook/use_cases/legal/contract_analysis.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Contract analysis example for Semantica framework. - -This example demonstrates contract intelligence -using the Semantica framework. -""" - -# TODO: Implement contract analysis example -# - Contract processing and analysis -# - Contract entity extraction and classification -# - Contract insights and analytics -# - Example usage and documentation -# - Performance optimization tips -# - Advanced contract features diff --git a/cookbook/use_cases/legal/regulatory_mapping.py b/cookbook/use_cases/legal/regulatory_mapping.py deleted file mode 100644 index d4c37e95..00000000 --- a/cookbook/use_cases/legal/regulatory_mapping.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Regulatory mapping example for Semantica framework. - -This example demonstrates regulation tracking -using the Semantica framework. -""" - -# TODO: Implement regulatory mapping example -# - Regulation processing and analysis -# - Regulatory entity extraction and classification -# - Regulation tracking and monitoring -# - Example usage and documentation -# - Performance optimization tips -# - Advanced regulatory features diff --git a/cookbook/use_cases/research/__init__.py b/cookbook/use_cases/research/__init__.py deleted file mode 100644 index 44146f53..00000000 --- a/cookbook/use_cases/research/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -Research use cases for Semantica framework. - -This module contains research-specific examples and use cases -for the Semantica framework. -""" diff --git a/cookbook/use_cases/research/citation_network.py b/cookbook/use_cases/research/citation_network.py deleted file mode 100644 index 2deb3251..00000000 --- a/cookbook/use_cases/research/citation_network.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Citation network example for Semantica framework. - -This example demonstrates citation network building -using the Semantica framework. -""" - -# TODO: Implement citation network example -# - Citation network construction and analysis -# - Research entity extraction and classification -# - Network analysis and insights -# - Example usage and documentation -# - Performance optimization tips -# - Advanced citation features diff --git a/cookbook/use_cases/research/collaboration_graph.py b/cookbook/use_cases/research/collaboration_graph.py deleted file mode 100644 index f115e73c..00000000 --- a/cookbook/use_cases/research/collaboration_graph.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Collaboration graph example for Semantica framework. - -This example demonstrates researcher collaboration analysis -using the Semantica framework. -""" - -# TODO: Implement collaboration graph example -# - Researcher collaboration analysis -# - Collaboration entity extraction and classification -# - Network analysis and insights -# - Example usage and documentation -# - Performance optimization tips -# - Advanced collaboration features diff --git a/cookbook/use_cases/research/research_trends.py b/cookbook/use_cases/research/research_trends.py deleted file mode 100644 index 16e28e6a..00000000 --- a/cookbook/use_cases/research/research_trends.py +++ /dev/null @@ -1,14 +0,0 @@ -""" -Research trends example for Semantica framework. - -This example demonstrates research trend analysis -using the Semantica framework. -""" - -# TODO: Implement research trends example -# - Research trend analysis and insights -# - Trend entity extraction and classification -# - Trend monitoring and reporting -# - Example usage and documentation -# - Performance optimization tips -# - Advanced trend analysis features