[1]蒋宗礼,隋少鹏. 基于领域本体和位置关系的信息检索模型[J].计算机技术与发展,2015,25(01):6-10.
　JIANG Zong-li,SUI Shao-peng. Information Retrieval Model Based on Domain Ontology and Position Relationship[J].,2015,25(01):6-10.
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 基于领域本体和位置关系的信息检索模型()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年01期
页码:
6-10
栏目:
智能、算法、系统工程
出版日期:
2015-01-10

文章信息/Info

Title:
 Information Retrieval Model Based on Domain Ontology and Position Relationship
文章编号:
1673-629X（2015)01-0006-05
作者:
 蒋宗礼; 隋少鹏
 北京工业大学 计算机学院
Author(s):
 JIANG Zong-li; SUI Shao-peng
关键词:
 ; 检索模型; 向量空间模型; 本体; 相似度
Keywords:
 ; retrieval model; vector space model; ontology; similarity
分类号:
TP31
文献标志码:
A
摘要:
 向量空间模型是最常用的信息检索模型，它根据词频来计算文档之间的相关度，这种方法虽然能够满足用户的基本检索需求，但是对于检索要求较高的用户，其效果仍然不甚理想。文中在向量空间模型的基础上，首先通过领域本体和上层本体来计算特征词项之间的相似度，据此得出与查询词相关的词，在求词项频率和逆文档频率时考虑这些词，然后引入了词序相关度和词语相邻相关度这两个概念，把特征项的位置关系也考虑进来。实验结果表明，文中提出的模型相比原始向量空间模型，在准确率上有了较大的改善。这完全说明，与原始向量空间模型相比，文中提出的检索模型不仅考虑了与原有词项具有相似语义的词项，而且还考虑了词项顺序和词项相邻信息，从而更能符合用户的检索要求。
Abstract:
 Vector space model,which calculates the relatedness between documents through word frequency,is a frequently used informa-tion retrieval model. This method can meet the user’s basic retrieval requirements,but for users with higher requirements,its effect is still not very ideal. In this paper,based on vector space model,first calculate the similarity,which can produce words related to the query word,between words through the use of domain ontology and upper ontology. So can take advantage of the related word when calculate TF and IDF. Then by introducing the concept of word order relatedness and word adjacent relatedness,can embody the position relation-ship. The experimental results show that this method can improve the precision considerably. This fully shows that,compared with the o-riginal vector space model, the retrieval model proposed not only considers the terms which have similar semantics with the original words,but also thinks about the word order information and word adjacent information,thus can meet users’ retrieval requirements better.

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更新日期/Last Update: 2015-04-17