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org.apache.lucene.wordnet.SynExpand Maven / Gradle / Ivy

package org.apache.lucene.wordnet;

/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import java.io.IOException;
import java.io.StringReader;
import java.util.HashSet;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Set;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.Hits;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.Searcher;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.store.FSDirectory;


/**
 * Expand a query by looking up synonyms for every term.
 * You need to invoke {@link Syns2Index} first to build the synonym index.
 *
 * @see Syns2Index
 */
public final class SynExpand {

	/**
	 * Test driver for synonym expansion.
	 * Uses boost factor of 0.9 for illustrative purposes.
	 *
	 * If you pass in the query "big dog" then it prints out:
	 *
	 * 
	 * Query: big adult^0.9 bad^0.9 bighearted^0.9 boastful^0.9 boastfully^0.9 bounteous^0.9 bountiful^0.9 braggy^0.9 crowing^0.9 freehanded^0.9 giving^0.9 grown^0.9 grownup^0.9 handsome^0.9 large^0.9 liberal^0.9 magnanimous^0.9 momentous^0.9 openhanded^0.9 prominent^0.9 swelled^0.9 vainglorious^0.9 vauntingly^0.9
	 * dog andiron^0.9 blackguard^0.9 bounder^0.9 cad^0.9 chase^0.9 click^0.9 detent^0.9 dogtooth^0.9 firedog^0.9 frank^0.9 frankfurter^0.9 frump^0.9 heel^0.9 hotdog^0.9 hound^0.9 pawl^0.9 tag^0.9 tail^0.9 track^0.9 trail^0.9 weenie^0.9 wiener^0.9 wienerwurst^0.9
	 * 
*/ public static void main(String[] args) throws IOException { if (args.length != 2) { System.out.println( "java org.apache.lucene.wordnet.SynExpand "); } FSDirectory directory = FSDirectory.getDirectory(args[0], false); IndexSearcher searcher = new IndexSearcher(directory); String query = args[1]; String field = "contents"; Query q = expand( query, searcher, new StandardAnalyzer(), field, 0.9f); System.out.println( "Query: " + q.toString( field)); searcher.close(); directory.close(); } /** * Perform synonym expansion on a query. * * @param query users query that is assumed to not have any "special" query syntax, thus it should be just normal words, so "big dog" makes sense, but a query like "title:foo^1.2" doesn't as this should presumably be passed directly to the default query parser. * * @param syns a opened to the Lucene index you previously created with {@link Syns2Index}. The searcher is not closed or otherwise altered. * * @param a optional analyzer used to parse the users query else {@link StandardAnalyzer} is used * * @param field optional field name to search in or null if you want the default of "contents" * * @param boost optional boost applied to synonyms else no boost is applied * * @return the expanded Query */ public static Query expand( String query, Searcher syns, Analyzer a, String field, float boost) throws IOException { Set already = new HashSet(); // avoid dups List top = new LinkedList(); // needs to be separately listed.. if ( field == null) field = "contents"; if ( a == null) a = new StandardAnalyzer(); // [1] Parse query into separate words so that when we expand we can avoid dups TokenStream ts = a.tokenStream( field, new StringReader( query)); final Token reusableToken = new Token(); for (Token nextToken = ts.next(reusableToken); nextToken != null; nextToken = ts.next(reusableToken)) { String word = nextToken.term(); if ( already.add( word)) top.add( word); } BooleanQuery tmp = new BooleanQuery(); // [2] form query Iterator it = top.iterator(); while ( it.hasNext()) { // [2a] add to level words in String word = (String) it.next(); TermQuery tq = new TermQuery( new Term( field, word)); tmp.add( tq, BooleanClause.Occur.SHOULD); // [2b] add in unique synonums Hits hits = syns.search( new TermQuery( new Term(Syns2Index.F_WORD, word))); for (int i = 0; i < hits.length(); i++) { Document doc = hits.doc(i); String[] values = doc.getValues( Syns2Index.F_SYN); for ( int j = 0; j < values.length; j++) { String syn = values[ j]; if ( already.add( syn)) // avoid dups of top level words and synonyms { tq = new TermQuery( new Term( field, syn)); if ( boost > 0) // else keep normal 1.0 tq.setBoost( boost); tmp.add( tq, BooleanClause.Occur.SHOULD); } } } } return tmp; } }




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