An academic information retrieval system based on multiagent framework

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings
Number of pages11
ISBN (Print)3540457801, 9783540457800
Publication statusPublished - 2006 Jan 1
Event3rd Asia Information Retrieval Symposium, AIRS 2006 - Singapore, Singapore
Duration: 2006 Oct 162006 Oct 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4182 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd Asia Information Retrieval Symposium, AIRS 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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