{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading ontology...\n",
      "Ontology loaded successfully.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Install rdflib if not already installed\n",
    "# !pip install rdflib\n",
    "\n",
    "from rdflib import Graph, Namespace\n",
    "\n",
    "# Step 1: Load the Ontology\n",
    "print(\"Loading ontology...\")\n",
    "g = Graph()\n",
    "g.parse(\"DrugInteraction.owl\", format=\"xml\")\n",
    "print(\"Ontology loaded successfully.\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Namespace\n",
    "ns = Namespace(\"http://www.example.org/DrugInteraction.owl#\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Query 1: Retrieve Drug Interactions\n",
    "query_interactions = \"\"\"\n",
    "PREFIX ns: <http://www.example.org/DrugInteraction.owl#>\n",
    "SELECT ?interaction ?drug1 ?drug2\n",
    "WHERE {\n",
    "    ?interaction a ns:Interaction .\n",
    "    ?interaction ns:causedBy ?drug1 .\n",
    "    ?interaction ns:causedBy ?drug2 .\n",
    "    FILTER (?drug1 != ?drug2)\n",
    "}\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Query 2: Retrieve Conflicts\n",
    "query_conflicts = \"\"\"\n",
    "PREFIX ns: <http://www.example.org/DrugInteraction.owl#>\n",
    "SELECT ?conflict ?drug1 ?drug2\n",
    "WHERE {\n",
    "    ?conflict a ns:Conflict .\n",
    "    ?conflict ns:between ?drug1 .\n",
    "    ?conflict ns:between ?drug2 .\n",
    "    FILTER (?drug1 != ?drug2)\n",
    "}\n",
    "\"\"\"\n",
    "\n",
    "# Query 3: Retrieve Similarities\n",
    "query_similarities = \"\"\"\n",
    "PREFIX ns: <http://www.example.org/DrugInteraction.owl#>\n",
    "SELECT ?similarity ?drug1 ?drug2\n",
    "WHERE {\n",
    "    ?similarity a ns:Similarity .\n",
    "    ?similarity ns:relatedTo ?drug1 .\n",
    "    ?similarity ns:relatedTo ?drug2 .\n",
    "    FILTER (?drug1 != ?drug2)\n",
    "}\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to run and print SPARQL query results\n",
    "def run_query(query, description):\n",
    "    print(f\"Results for {description}:\")\n",
    "    results = g.query(query)\n",
    "    for row in results:\n",
    "        print(f\"{row[0]} | Drug 1: {row[1].split('#')[-1]} | Drug 2: {row[2].split('#')[-1]}\")\n",
    "    print(\"\\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results for Drug Interactions:\n",
      "http://www.example.org/DrugInteraction.owl#Interaction1 | Drug 1: Warfarin | Drug 2: Aspirin\n",
      "http://www.example.org/DrugInteraction.owl#Interaction1 | Drug 1: Aspirin | Drug 2: Warfarin\n",
      "\n",
      "\n",
      "Results for Conflicts:\n",
      "http://www.example.org/DrugInteraction.owl#Conflict1 | Drug 1: Sildenafil | Drug 2: Nitroglycerin\n",
      "http://www.example.org/DrugInteraction.owl#Conflict1 | Drug 1: Nitroglycerin | Drug 2: Sildenafil\n",
      "\n",
      "\n",
      "Results for Similarities:\n",
      "http://www.example.org/DrugInteraction.owl#Similarity1 | Drug 1: Warfarin | Drug 2: Aspirin\n",
      "http://www.example.org/DrugInteraction.owl#Similarity1 | Drug 1: Aspirin | Drug 2: Warfarin\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Execute each query\n",
    "run_query(query_interactions, \"Drug Interactions\")\n",
    "run_query(query_conflicts, \"Conflicts\")\n",
    "run_query(query_similarities, \"Similarities\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}