| 基于查询扩展和词义消歧的语义检索 |
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| 引用本文： | 王瑞琴,孔繁胜.基于查询扩展和词义消歧的语义检索[J].情报学报,2010,29(1). |
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| 作者姓名： | 王瑞琴 孔繁胜 |
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| 作者单位： | 1. 温州大学物理与电子信息工程学院,温州,325035
2. 浙江大学人工智能研究所,杭州,310027 |
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| 摘 要： | 随着网络化信息的急剧增长以及自然语言固有的歧义性问题,当前基于关键字匹配的搜索引擎已不能满足信息搜索的需求,出现了"信息泛滥而知识缺乏"的现象.本文提出基于语义的智能搜索技术,利用WordNet和WordNet Domains知识库从结构相关性和领域相关性两个方面综合判定词义间的相关性.根据用户提交的查询关键词的整体相关性最大化原则来确定查询词义,进而进行查询扩展;同时对检索到的文档内容也进行语义消歧来去除无关文档,兼顾了查准率和查全率两个方面.模拟实验结果表明,本文方法的搜索性能较传统的关键字匹配法和一般的查询扩展方法有明显优势,检索精度分别提高了18%和28%.
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| 关 键 词： | 查询扩展 词义消歧 语义检索 |
Semantic Retrieval Based on Query Expansion and Word Sense Disambiguation |
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| Wang Ruiqin , Kong Fansheng.Semantic Retrieval Based on Query Expansion and Word Sense Disambiguation[J].Journal of the China Society for Scientific andTechnical Information,2010,29(1). |
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| Authors: | Wang Ruiqin Kong Fansheng |
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| Institution: | 1.College of Physics & Electronic Information Engineering/a>;Wenzhou University/a>;Wenzhou 325035/a>;2.Institute of Artificial Intelligence/a>;Zhejiang University/a>;Hangzhou 310027 |
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| Abstract: | Along with the rapid increase of web information and the ambiguity problem inherent in natural language,present search engines based on keywords matching are incapable of meeting the requirement of information retrieval.Phenomenon ofinformation overload,knowledge lackemerged.This paper provides a semantic-based intelligent search technology which determines the relatedness between two word senses via structural and domainal relatedness computation based on WordNet and WordNet Domains ontology.The senses of ... |
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| Keywords: | WordNet |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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