CAJ | 학술논문

基于关键词匹配的检索方法存在不足，使用分布式大数据处理技术，基于本体对用户输入的查询关键词进行查询扩展，利用L ucene针对扩展后的关键词进行检索，按照语义相似度将检索结果排序后返回给用户。实验表明，基于本体的语义检索系统在查全率和查准率两个方面均优于传统检索方法。
기우관건사필배적검색방법존재불족，사용분포식대수거처리기술，기우본체대용호수입적사순관건사진행사순확전，이용L ucene침대확전후적관건사진행검색，안조어의상사도장검색결과배서후반회급용호。실험표명，기우본체적어의검색계통재사전솔화사준솔량개방면균우우전통검색방법。
Traditional retrieval method based on keyword matching does not work efficiently in some aspects .With the distributed bulk data processing technology , the user input query keywords is extended based on ontology and the extended keywords are retrieved by means of Lucene . The retrieved results are sequenced according to the semantic similarity and then backed to the users .The experiments show that the semantic retrieval system is better than the traditional one on both the precision ratio and recall ratio .