Improvement of a system to propose relevant words in WEB retrieval and extraction the summaries of WEB pages

Akihiro Umenaga; Hideo Takeshita; Manabu Hisamoto; Ryuzo Hasegawa; Hiroshi Fujita; Miyuki Koshimura

Improvement of a system to propose relevant words in WEB retrieval and extraction the summaries of WEB pages

Akihiro Umenaga, Hideo Takeshita, Manabu Hisamoto, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura

Intelligence Science

Research output: Contribution to journal › Article › peer-review

Abstract

Nowadays, we often use the Internet in order to get several pieces of information. Several search engines are available for retrieval. However, as the number of WEB pages increases, it becomes difficult to obtain useful information. Google is a reputable search engine with the accuracy of its retrieval result. It evaluates each WEB page with the PageRank system. This system has partially succeeded in presenting useful WEB pages. However, its retrieval result is still huge. In order to add some appropriate keywords for retrieval and decrease the number of obtained WEB pages, a system proposing words relevant to given keywords was presented. This paper describes how to improve the accuracy of relevant words and summarize Web pages in terms of relevant words.

Original language	English
Pages (from-to)	27-32
Number of pages	6
Journal	Research Reports on Information Science and Electrical Engineering of Kyushu University
Volume	10
Issue number	1
Publication status	Published - Mar 1 2005

All Science Journal Classification (ASJC) codes

Computer Science(all)
Electrical and Electronic Engineering

Cite this

Improvement of a system to propose relevant words in WEB retrieval and extraction the summaries of WEB pages. / Umenaga, Akihiro; Takeshita, Hideo; Hisamoto, Manabu et al.
In: Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol. 10, No. 1, 01.03.2005, p. 27-32.

Research output: Contribution to journal › Article › peer-review

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AU - Fujita, Hiroshi

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Improvement of a system to propose relevant words in WEB retrieval and extraction the summaries of WEB pages

Abstract

All Science Journal Classification (ASJC) codes

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