基于领域本体的信息检索优化策略

Information retrieval optimization strategy based on domain ontology

针对传统的基于关键字匹配的信息检索查准率和查全率较低的问题,提出了一种基于专业领域本体的查询优化策略。主要研究了3种优化方案:基于is-a关系的优化、基于part-of关系的优化和基于等价类关系的优化。利用这种优化策略实现了一个基于海洋生态本体的专有领域信息检索系统,可以将用户提交的查询条件进行优化处理后再交由Web搜索引擎进行检索,对检索结果进行整合后最终显示给用户。实验结果表明,这种策略可以有效地提高专业领域信息检索的精确度。

A strategy of query optimization based on domain ontology is proposed to improve the efficiency of traditional search engines. Three kinds of query optimization respectively based on is-a relation, part-of relation, and equivalent-class relation in the domain ontology are investigated. By using this strategy, a domain-specific information searching system building upon web search engine and domain ontology is built, where optimized user query is directed to web search engine for searching. Searching results of optimized are compared with non-optimized query show the effectiveness of the strategy in improving precision of information searching.