Nielsen2020Homographs_wordnet.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Homographs - wordnet\n",
    "===================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os.path import expanduser, join\n",
    "from rdflib import Graph\n",
    "from nltk.corpus import wordnet as wn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dannet_path = expanduser(join('~', 'data', 'dannet', 'DanNet-2.2_owl'))\n",
    "words_filename = join(dannet_path, 'words.rdf')\n",
    "wordsenses_filename = join(dannet_path, 'wordsenses.rdf')\n",
    "glossary_filename = join(dannet_path, 'glossary.rdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Graph identifier=N6f37c91961f6412ba1ad6facec1afa73 (<class 'rdflib.graph.Graph'>)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = Graph()\n",
    "g.parse(words_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Graph identifier=N6f37c91961f6412ba1ad6facec1afa73 (<class 'rdflib.graph.Graph'>)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.parse(wordsenses_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Graph identifier=N6f37c91961f6412ba1ad6facec1afa73 (<class 'rdflib.graph.Graph'>)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "g.parse(glossary_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "PREFIX wn20schema: <http://www.w3.org/2006/03/wn/wn20/schema/>\n",
    "\n",
    "SELECT ?synset ?wordsense ?word ?gloss {\n",
    "  ?word wn20schema:lexicalForm \"bil\" .\n",
    "  ?wordsense wn20schema:word ?word .\n",
    "  ?synset wn20schema:containsWordSense ?wordsense . \n",
    "  ?synset wn20schema:gloss ?gloss .\n",
    "}\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "query_results = g.query(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "firehjulet motorkøretøj til person- el. godstransp ... (Brug: \"min bil gik i stå, fordi der ikke var mere benzin i den || du har overhovedet ikke herredømme over bilen, når du enten har sat bilen i frigear eller har koblet ud\")\n"
     ]
    }
   ],
   "source": [
    "for row in query_results:\n",
    "    print(\"-\")\n",
    "    print(row[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "synsets = wn.synsets(\"station\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-\n",
      "a facility equipped with special equipment and personnel for a particular purpose\n",
      "-\n",
      "proper or designated social situation\n",
      "-\n",
      "(nautical) the location to which a ship or fleet is assigned for duty\n",
      "-\n",
      "the position where someone (as a guard or sentry) stands or is assigned to stand\n",
      "-\n",
      "the frequency assigned to a broadcasting station\n",
      "-\n",
      "assign to a station\n"
     ]
    }
   ],
   "source": [
    "for synset in synsets:\n",
    "    print('-')\n",
    "    print(synset.definition())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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