基于抽取规则和本体映射的语义搜索算法

Semantic Search Algorithm Based on Extraction Rules and Ontology Mapping

针对目前语义搜索过程中存在效率低、用户推荐误差大等问题,提出一种基于抽取规则和本体映射的语义搜索算法.首先根据用户语义搜索要求抽取语义中的元素和属性,解决数据利用率低的缺陷;然后建立语义模型,构建本体之间的元素及属性之间的映射,消除用户需求和计算机之间的语义偏差;最后将语义搜索算法应用于用户个性化推荐系统.实验结果表明,该语义搜索算法有效提高了搜索效率,降低了用户个性化推荐误差.

In view of the problems of low efficiency and large user recommendation error in the process of semantic search,we proposed a semantic search algorithm based on extraction rules and ontology mapping.Firstly,according to user's requirements in semantic search,the semantic elements and attributes were extracted to solve the defect of low utilization rate of data.Secondly,we established a semantic model to construct a mapping between elements and attributes between ontology,and eliminated the semantic deviation between user's need and computer.Finally,the semantic search algorithm was applied to the user's personalized recommendation system.The experimental results show that the semantic search algorithm effectively improves the search efficiency and reduces the user's personalized recommendation error.