A categorization scheme for semantic web search engines

被引：11

作者：

Esmaili, Kyumars Sheykh ^{[1
]}

Abolhassani, Hassan ^{[1
]}

机构：

[1] Sharif Univ Technol, Dept Comp Engn, Semant Web Res Lab, Tehran, Iran

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1-3 | 2006年

关键词：

D O I：

10.1109/AICCSA.2006.205086

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Semantic web search engines are evolving and many prototype systems and some implementation have been developed. However, there are some different views on what a semantic search engine should do. In this paper, a categorization scheme for semantic web search engines are introduced and elaborated. For each category, its components are described according to a proposed general architecture and various approaches employed in these components are discussed. We also propose some factors to evaluate systems in each category.

引用

页码：171 / +

页数：3