An Enhanced Fuzzy Information Retrieval Model based on Linguistics

被引：0

作者：

Al-Arab, Zeinab E.

Gadallah, Ahmed M.

Hefny, Hesham M.

机构：

来源：

COMPUTER AND INFORMATION TECHNOLOGY | 2014年 / 519-520卷

关键词：

Fuzzy Ontology; Fuzzy Ontology Information retrieval; Information Retrieval; Ranking documents; Linguistic based query answering system;

D O I：

10.4028/www.scientific.net/AMM.519-520.853

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper proposes a linguistic based fuzzy ontology information retrieval model. The model deals with linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.

引用

页码：853 / 856

页数：4

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