基于领域Ontology的知识检索模型研究  

Research on Domain Ontology Based Knowledge Retrieval Model

作　　者：蒋勋[1] 卞艺杰[1] 吴铭峰[1] 

机构地区：[1]河海大学,南京210098

出　　处：《图书情报工作》2010年第18期116-119,144,共5页Library and Information Service

摘　　要：针对传统信息检索模型不能很好满足用户需求的问题,在分析现有相关研究的基础上,提出基于领域On-tology的知识检索模型。通过构建领域Ontology,对文档进行语义标注,对查询请求进行概念提取和语义扩展,从而得到语义索引项作为文档和用户请求的知识表达,进一步研究领域Ontology中词语间语义关系的计算模型。考虑到语义相似度与语义相关的内在关系,给出相关系数来衡量检索目标与候选者间符合程度。最后对提出的模型进行验证,结果表明检索性能有显著提高。Traditional information retrieval model becomes inefficient for users. In this paper, the knowledge retrieval model based on domain ontology is firstly proposed by analyzing the existing research results. By constructing domain ontology, the documents are semantic annotated, the queries are conceptualized and semantic extended, and semantic indexing terms are generated, which representing documents and queries. And then, it introduces a computing model of words in domain ontology, which takes full account of the semantic similarity and relevancy. Finally, according to the application scenario, the performance of retrieval can be improved effectively, which shows advantages over the keyword-based information retrieval.

关 键 词：知识检索 领域ONTOLOGY 语义索引项 语义标注 语义相似度 语义相关度 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]