A Filtering Tool for WWW Search Engines based on Semantic Relation between Input Keywords
-
- MATSUMOTO Akiyo
- Shizuoka University
-
- KONISHI Tatsuhiro
- Shizuoka University
-
- TAKAGI Akira
- CSK Corporation
-
- KOYAMA Teruo
- National Institute of Informatics
-
- MIYAKE Yoshio
- Chukyo University
-
- ITOH Yukihiro
- Shizuoka University
Bibliographic Information
- Other Title
-
- ページ内の意味的係り関係に基づくWWWページ検索結果の絞り込みについて
- ページ ナイ ノ イミテキ カカリ カンケイ ニ モトヅク WWW ページ ケンサク ケッカ ノ シボリコミ ニ ツイテ
Search this article
Abstract
In this paper, we propose a filtering tool for WWW search engines. Because ordinary search engines select candidate pages based on appearance frequency of keywords, the candidate pages may contain every keyword. However, there are some cases that each keyword appears in individual context and they have no semantic relation. Such pages tend to be useless. We try to improve precision of a search engine by checking whether input keywords have a semantic relation in the candidate pages or not. Semantic relations between keywords are represented by using a structure, such as sentence, table, itemized list and so on. In this paper we deal with sentence and table as a structure to represent semantic relations. We propose a method to detect semantic relations between input keywords represented in the structure of sentence and table. We also show an experimental evaluation of our method.
Journal
-
- IEICE technical report. Natural language understanding and models of communication
-
IEICE technical report. Natural language understanding and models of communication 103 (408), 19-25, 2003-10-31
The Institute of Electronics, Information and Communication Engineers