TY - GEN
T1 - An academic information retrieval system based on multiagent framework
AU - Abe, Toru
AU - Chiba, Yuu
AU - Suoya,
AU - Li, Baoning
AU - Kinoshita, Tetsuo
PY - 2006/1/1
Y1 - 2006/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33751357533&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33751357533&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33751357533
SN - 3540457801
SN - 9783540457800
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 497
EP - 507
BT - Information Retrieval Technology - Third Asia Information Retrieval Symposium, AIRS 2006, Proceedings
PB - Springer-Verlag
T2 - 3rd Asia Information Retrieval Symposium, AIRS 2006
Y2 - 16 October 2006 through 18 October 2006
ER -