A scalable topic-based open souirce search engine

被引：12

作者：

Buntine, W ^{[1
]}

Löfström, J ^{[1
]}

Perkiö, J ^{[1
]}

Perttu, S ^{[1
]}

Poroshin, V ^{[1
]}

Silander, T ^{[1
]}

Tirri, H ^{[1
]}

Tuominen, A ^{[1
]}

Tuulos, V ^{[1
]}

机构：

[1] Helsinki Inst Informat Technol, Complex Syst Computat Grp, FIN-02015 Helsinki, Finland

来源：

IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2004), PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/WI.2004.10094

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

Site-based or topic-specific search engines work with mixed success because of the general difficulty of the information retrieval task, and the lack of good link information to allow authorities to be identified. We are advocating an open source approach to the problem due to its scope and need for software components. We have adopted a topic-based search engine because it represents the next generation of capability. This paper outlines our scalable system for site-based or topic-specific search, and demonstrates the developing system on a small 250,000 document collection of EU and UN web pages.

引用

页码：228 / 234

页数：7

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