An academic information retrieval system based on multiagent framework

Toru Abe, Yuu Chiba, Suoya, Baoning Li, Tetsuo Kinoshita

研究成果: Conference contribution

抄録

In real-life searches in information, a set of information retrieved by a query influences user's knowledge. Usually this influence inspires the user with new ideas and new conception of the query. As a result, the search in information is iterated while the user's query is continually shifting in part or whole. This sort of search is called an "evolving search," and it performs an important role also in academic information retrieval. To support the utilization of digital academic information, this paper proposes a novel system for academic information retrieval. In the proposed system, which is based on a multiagent framework, each piece of academic information is structured as an agent and provided with autonomy. Consequently, since a search is iterated by academic information itself, part of an evolving search is entrusted to the system, and the user's load to retrieve academic information can be reduced effectively.

本文言語English
ホスト出版物のタイトルInformation Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings
出版社Springer-Verlag
ページ497-507
ページ数11
ISBN(印刷版)3540457801, 9783540457800
出版ステータスPublished - 2006 1 1
イベント3rd Asia Information Retrieval Symposium, AIRS 2006 - Singapore, Singapore
継続期間: 2006 10 162006 10 18

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4182 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other3rd Asia Information Retrieval Symposium, AIRS 2006
CountrySingapore
CitySingapore
Period06/10/1606/10/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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