Abstract: To solve the problem that ontology can not provide all knowledge in semantic search, this paper proposes hybrid information retrieval model based on domain ontology. It makes use of semantic relevance in domain concepts, constitutes basic matrix and extend matrix index. When there is no available domain ontology, it can work based on keywords. Meanwhile, it exerts the advantage of keywords retrieval and semantic retrieval, and improves retrieval performance.

Key words: domain ontology, hybrid information retrieval model, keywords retrieval, semantic retrieval

摘要： 针对语义检索中本体不能提供所有知识的问题，提出一种基于领域本体的混合信息检索模型。该模型利用领域本体中概念间的语义关系，结合关键词检索和语义检索，建立关键词基础矩阵和语义扩展矩阵两层索引矩阵，使系统检索在没有可用本体知识时能自动调整为关键词检索，保证一定的检索性能。两者的结合有效改善了检索性能。

关键词: 领域本体, 混合信息检索模型, 关键词检索, 语义检索

CLC Number: 

• TP311