对于 Lucene，在搜索结果中定位匹配项的推荐方法是什么？

更具体地说，假设索引文档有一个字段“fullText”，它存储某个文档的纯文本内容。此外，假设这些文档之一的内容是“The quick brown fox jumps over the lazy dog”。接下来搜索“fox dog”。显然，该文件将大受欢迎。

在这种情况下，是否可以使用 Lucene 来为找到的文档提供匹配区域之类的东西？因此，对于这种情况，我想制作如下内容:

[{match: "fox", startIndex: 10, length: 3},
 {match: "dog", startIndex: 34, length: 3}]

我怀疑它可以通过 org.apache.lucene.search.highlight 包中提供的内容来实现。我不确定整体方法......

最佳答案

TermFreqVector 是我使用的。这是一个工作演示，它打印术语位置以及开始和结束术语索引:

public class Search {
    public static void main(String[] args) throws IOException, ParseException {
        Search s = new Search();  
        s.doSearch(args[0], args[1]);  
    }  

    Search() {
    }  

    public void doSearch(String db, String querystr) throws IOException, ParseException {
        // 1. Specify the analyzer for tokenizing text.  
        //    The same analyzer should be used as was used for indexing  
        StandardAnalyzer analyzer = new StandardAnalyzer(Version.LUCENE_CURRENT);  

        Directory index = FSDirectory.open(new File(db));  

        // 2. query  
        Query q = new QueryParser(Version.LUCENE_CURRENT, "contents", analyzer).parse(querystr);  

        // 3. search  
        int hitsPerPage = 10;  
        IndexSearcher searcher = new IndexSearcher(index, true);  
        IndexReader reader = IndexReader.open(index, true);  
        searcher.setDefaultFieldSortScoring(true, false);  
        TopScoreDocCollector collector = TopScoreDocCollector.create(hitsPerPage, true);  
        searcher.search(q, collector);  
        ScoreDoc[] hits = collector.topDocs().scoreDocs;  

        // 4. display term positions, and term indexes   
        System.out.println("Found " + hits.length + " hits.");  
        for(int i=0;i<hits.length;++i) {  

            int docId = hits[i].doc;  
            TermFreqVector tfvector = reader.getTermFreqVector(docId, "contents");  
            TermPositionVector tpvector = (TermPositionVector)tfvector;  
            // this part works only if there is one term in the query string,  
            // otherwise you will have to iterate this section over the query terms.  
            int termidx = tfvector.indexOf(querystr);  
            int[] termposx = tpvector.getTermPositions(termidx);  
            TermVectorOffsetInfo[] tvoffsetinfo = tpvector.getOffsets(termidx);  

            for (int j=0;j<termposx.length;j++) {  
                System.out.println("termpos : "+termposx[j]);  
            }  
            for (int j=0;j<tvoffsetinfo.length;j++) {  
                int offsetStart = tvoffsetinfo[j].getStartOffset();  
                int offsetEnd = tvoffsetinfo[j].getEndOffset();  
                System.out.println("offsets : "+offsetStart+" "+offsetEnd);  
            }  

            // print some info about where the hit was found...  
            Document d = searcher.doc(docId);  
            System.out.println((i + 1) + ". " + d.get("path"));  
        }  

        // searcher can only be closed when there  
        // is no need to access the documents any more.   
        searcher.close();  
    }      
}

关于java - 从 Lucene 中查找搜索命中的位置，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/1311199/