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基于语义查询扩展的垂直搜索研究
引用本文:赵建伟,郑诚,吴永俊.基于语义查询扩展的垂直搜索研究[J].计算机工程,2010,36(12):97-99.
作者姓名:赵建伟  郑诚  吴永俊
作者单位:1. 安徽大学计算机科学与技术学院,合肥,230039
2. 安徽大学计算智能与信号处理教育部重点实验室,合肥,230039
基金项目:安徽省高等学校省级自然科学研究基金资助重点项目(KJ2009A57)
摘    要:基于关键词的搜索引擎无法满足用户需求,传统查询扩展方式又会带来许多语义理解错误,针对该问题,提出一种基于本体的垂直搜索引擎概念模型,建立基于关键词和基于概念的两层索引结构,利用行业领域本体对用户提交的关键词进行语义查询扩展,并对按照本体标注的文档进行排序优化,提高查询的查全率和查准率。

关 键 词:垂直搜索  语义查询扩展  本体  概念

Vertical Search Research Based on Semantic Query Expansion
ZHAO Jian-wei,ZHENG Cheng,WU Yong-jun.Vertical Search Research Based on Semantic Query Expansion[J].Computer Engineering,2010,36(12):97-99.
Authors:ZHAO Jian-wei  ZHENG Cheng  WU Yong-jun
Affiliation:(1. School of Computer Science and Technology, Anhui University, Hefei 230039;2. Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230039)
Abstract:Since the keyword-based search engine can not meet the needs of users and the traditional way of query expansion brings out the errors of semantic understanding, this paper proposes an ontology-based conceptual model of vertical search engines, and sets up a two-tier index structure based on keywords and concept. Taking advantage of industry domain ontology, it operates semantic query expansion to the key words which is submitted by the user, and optimizes the sorting of documents marked by ontology, then raises rate of precision and recall of the system.
Keywords:vertical search  semantic query expansion  ontology  concept
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