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{
"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
}
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