基于本体推理的搜索意图识别与应用
首发时间:2013-12-18
摘要:随着网上的数据每日都在海量且无止尽地增加,精确、快速地搜索到自己想要的信息显得尤为重要。如果能改变传统搜索引擎基于"关键字"匹配搜索的局限性,从语义层面理解、推理用户意图,将会改善搜索引擎的检索质量。本文利用本体推理的方法来探测用户意图。利用基于本体推理技术的国家百科问答系统探索本体推理技术应用到搜索技术的可能性。实验的结果从根本上突破了传统搜索引擎基于"关键字"匹配搜索的局限性。将搜索引擎对用户提交的搜索式的理解提高到了语义层面、并蕴含推理功能。加强了搜索功能。
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Search intention recognition based on ontology reasoning
Abstract:As data on Internet is increasing endlessly every day. Searching information we need precisely and quickly is more important. If we can change the traditional search engines' search limitations which based on "key words" matching. understand user intent from semantic level, it will improve search engine retrieval quality. In this paper, the method of ontology reasoning will be apply to detect user intent. Use country encyclopedia question-answering system based on ontology reasoning to explore the effect of ontology reasoning technology applying for search technology. Fundamentally with the results of the experiment, ontology reasoning was proved sucessfully for improving search engine quality
Keywords: Technology of Computer Application search ontology reasoning
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