本体进化驱动的个性化语义搜索研究

Research on the Personal Semantic Search Driven by Ontology Evolution

语义搜索在Web搜索领域中是一个新颖且具有广阔前景的搜索技术，为Web搜索的发展带来新的契机。在语义搜索引擎中，搜索结果的质量是至关重要的，并且主要依赖于领域本体。然而，由于语义搜索引擎中的领域本体往往无法及时更新，从而不能保证为网络搜索提供足够的语义，这常常成为劣质搜索结果的根源。鉴于此，提出一个本体进化驱动的语义搜索引擎系统，通过定期自动的本体进化丰富领域本体中的语义，从而提高搜索的准确率，进而更准确地向用户返回最符合其需求的搜索结果。另外，为了进一步增强搜索用户的满意度，在构建用户语义兴趣模型的基础上提出了个性化的排序算法。试验结果表明，与无本体进化功能的语义搜索引擎相比，所提出的本体进化驱动的语义搜索引擎显著提高了搜索结果的准确率。

Semantic search is a relatively new promising search technology in Web search, which will bring a new opportunity for the development of Web Search. The quality of the search result is crucial for the success of a search system and depends mainly on the domain ontology in semantic search engine. However, the domain ontology usually fail to be updated in time and still stay in the initial state that does not contain enough semantics to provide the powerful support for semantic search. As a result, the quality of the search result was often poor. The ontology evolution-driven semantic search system proposed that is to efficiently improve the precision of the search resuh and return to users the most satisfactory search results by periodically automatic ontology evolution, which can enrich the domain ontology by adding more semantics into it. Moreover, a algorithm of personalized ranking is presented in this paper in order to further enhance the satisfaction of search user. The experimental results show that the proposed semantic search engine has a much better performance than the one without ontology evolution.