摘要
针对现有的基于关键词检索过程中存在的缺陷,构建一种基于本体的面向语义查询的信息检索模型。该系统在领域本体知识库建立的基础上,将智能语义Web技术与信息检索方法相结合,核心是运用中文分词算法和语义扩展实现用户对专业领域信息的有效查询,实现了面向领域的智能检索系统。
Aimed at the defects of the traditional keyword-based retrieval method, an ontology-basedsemantic query-oriented information retrieval model is built. Based on the establishment of domainontology knowledge base, the system combined the intelligent semantic Web technology with theinformation retrieval method, with the core that users can validly search the information of professionalareas by means of Chinese word segmentation algorithm and semantic expansion and that adomain-oriented intelligent retrieval system is established.
出处
《情报科学》
CSSCI
北大核心
2015年第2期46-49,71,共5页
Information Science
基金
山西省高等学校科技开发项目(20101105)
关键词
领域本体
语义检索
中文分词算法
信息抽取
domain ontology
semantic retrieval
Chinese word segmentation algorithm
information extraction
