semantica/cookbook/advanced/09_Semantic_Layer_Construction.ipynb

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   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/semantica-agi/semantica/blob/main/cookbook/advanced/09_Semantic_Layer_Construction.ipynb)\n",
    "\n",
    "# Semantic Layer Construction\n",
    "\n",
    "## Overview\n",
    "\n",
    "Build an enterprise semantic layer: construct knowledge graph, generate ontology, create semantic layer, export RDF, and store in triplet store.\n",
    "\n",
    "\n",
    "**Documentation**: [API Reference](https://semantica.readthedocs.io/concepts/)\n",
    "\n",
    "## Installation\n",
    "\n",
    "Install Semantica from PyPI:\n",
    "\n",
    "```bash\n",
    "pip install semantica\n",
    "# Or with all optional dependencies:\n",
    "pip install semantica[all]\n",
    "```\n",
    "\n",
    "## Workflow: Build KG → Generate Ontology → Create Semantic Layer → Export RDF \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -qU semantica\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from semantica.kg import GraphBuilder\n",
    "from semantica.ontology import OntologyGenerator\n",
    "from semantica.export import RDFExporter\n",
    "from semantica.triplet_store import TripletStore\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: Build Knowledge Graph\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "builder = GraphBuilder()\n",
    "\n",
    "entities = [\n",
    "    {\"id\": \"e1\", \"type\": \"Person\", \"name\": \"Alice\", \"properties\": {\"age\": 30, \"role\": \"Engineer\"}},\n",
    "    {\"id\": \"e2\", \"type\": \"Person\", \"name\": \"Bob\", \"properties\": {\"age\": 35, \"role\": \"Manager\"}},\n",
    "    {\"id\": \"e3\", \"type\": \"Organization\", \"name\": \"Tech Corp\", \"properties\": {\"founded\": 2010}},\n",
    "    {\"id\": \"e4\", \"type\": \"Project\", \"name\": \"Project Alpha\", \"properties\": {\"status\": \"active\"}},\n",
    "]\n",
    "\n",
    "relationships = [\n",
    "    {\"source\": \"e1\", \"target\": \"e2\", \"type\": \"reports_to\"},\n",
    "    {\"source\": \"e1\", \"target\": \"e3\", \"type\": \"works_for\"},\n",
    "    {\"source\": \"e2\", \"target\": \"e3\", \"type\": \"works_for\"},\n",
    "    {\"source\": \"e1\", \"target\": \"e4\", \"type\": \"works_on\"},\n",
    "]\n",
    "\n",
    "knowledge_graph = builder.build(entities, relationships)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 2: Generate Ontology\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "generator = OntologyGenerator()\n",
    "ontology = generator.generate_from_graph(knowledge_graph)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 3: Create Semantic Layer\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_mappings(kg, ontology):\n",
    "    mappings = {\n",
    "        \"entity_type_mappings\": {},\n",
    "        \"relationship_type_mappings\": {},\n",
    "        \"property_mappings\": {}\n",
    "    }\n",
    "    \n",
    "    entity_types = set(e.get(\"type\") for e in entities)\n",
    "    ontology_classes = ontology.get(\"classes\", [])\n",
    "    \n",
    "    for entity_type in entity_types:\n",
    "        matching_class = next((cls for cls in ontology_classes if cls.get(\"name\") == entity_type), None)\n",
    "        if matching_class:\n",
    "            mappings[\"entity_type_mappings\"][entity_type] = matching_class.get(\"uri\", entity_type)\n",
    "    \n",
    "    relationship_types = set(r.get(\"type\") for r in relationships)\n",
    "    ontology_properties = ontology.get(\"properties\", [])\n",
    "    \n",
    "    for rel_type in relationship_types:\n",
    "        matching_prop = next((prop for prop in ontology_properties if prop.get(\"name\") == rel_type), None)\n",
    "        if matching_prop:\n",
    "            mappings[\"relationship_type_mappings\"][rel_type] = matching_prop.get(\"uri\", rel_type)\n",
    "    \n",
    "    return mappings\n",
    "\n",
    "mappings = create_mappings(knowledge_graph, ontology)\n",
    "\n",
    "semantic_layer = {\n",
    "    \"graph\": knowledge_graph,\n",
    "    \"ontology\": ontology,\n",
    "    \"mappings\": mappings,\n",
    "    \"metadata\": {\n",
    "        \"version\": \"1.0\",\n",
    "        \"created_at\": \"2024-01-01\",\n",
    "        \"description\": \"Enterprise semantic layer\"\n",
    "    }\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 4: Export RDF\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "exporter = RDFExporter()\n",
    "# Export Knowledge Graph\n",
    "exporter.export(knowledge_graph, \"knowledge_graph.ttl\", format=\"turtle\")\n",
    "print(\"Exported knowledge graph to knowledge_graph.ttl\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "Enterprise semantic layer construction:\n",
    "- Knowledge Graph Built\n",
    "- Ontology Generated\n",
    "- Semantic Layer Created with Mappings\n",
    "- RDF Export Completed\n"
   ]
  },
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