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- Add complete libs/semantica framework with 20+ production-ready modules - Implement core orchestration, configuration, and plugin management - Add comprehensive data ingestion (files, web, streams, databases, emails) - Implement parsing for documents, web content, structured data, code, media - Add data normalization (text, entities, dates, numbers, quality) - Implement semantic extraction (NER, relations, events, coreference, triples) - Add ontology management and knowledge graph construction - Implement graph analytics (centrality, community detection, connectivity) - Add embeddings generation and vector store management - Implement pipeline orchestration and streaming processing - Add security (access control, data masking, PII redaction) - Implement quality assurance and validation systems - Add export capabilities (RDF, JSON, CSV, graph formats) - Create comprehensive cookbook with examples and use cases - Add basic examples (document processing, web scraping, knowledge graphs) - Add advanced examples (multi-modal processing, real-time analytics) - Implement detailed bullet-point comments throughout - Follow SDK best practices and Python-only implementation - Add comprehensive pyproject.toml with dependencies and configuration - Include detailed README with usage examples and documentation This commit establishes the complete foundation for the Semantica semantic layer and knowledge engineering framework.
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
"""
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Semantica Cookbook
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This module contains comprehensive examples and use cases for the Semantica framework.
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The cookbook is organized into different categories:
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- Basic Examples: Simple usage examples
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- Advanced Examples: Complex use cases and workflows
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- Domain Examples: Domain-specific applications
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- Integration Examples: Integration with other systems
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- Performance Examples: Performance optimization examples
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"""
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# Basic Examples
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# from .basic_examples import document_processing_example
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# from .basic_examples import web_scraping_example
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# from .basic_examples import knowledge_graph_example
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# Advanced Examples
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# from .advanced_examples import multi_modal_processing
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# from .advanced_examples import real_time_analytics
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# from .advanced_examples import federated_knowledge
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# Domain Examples
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# from .domain_examples import biomedical_knowledge
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# from .domain_examples import financial_analytics
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# from .domain_examples import legal_document_analysis
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# Integration Examples
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# from .integration_examples import database_integration
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# from .integration_examples import api_integration
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# from .integration_examples import cloud_integration
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# Performance Examples
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# from .performance_examples import large_scale_processing
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# from .performance_examples import streaming_optimization
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# from .performance_examples import memory_optimization
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