Knowledge-Intensive Gathering and Integration of Statistical Information on European Fisheries

M. Klinkert, J. Treur, T. Verwaart

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Gathering, maintenance, integration and presentation of statistics are major activities of the Dutch Agricultural Economics Research Institute LEI. In this paper we explore how knowledge and agent technology can be exploited to support the information gathering and integration process. In particular, the methods used by the institute’s experts in the domain of Fishery Economics are analyzed. Also, the design and implementation of a prototype system for intelligent information gathering and integration are discussed. The model covers not only the actual integration, but also the processes for identification of the type of information needed by the client, and the gathering of source information.
Original languageEnglish
Title of host publicationIntelligent Problem Solving: Methodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, Proceedings
EditorsR. Loganantharaj, G. Palm, M. Ali
PublisherSpringer/Verlag
Pages230-235
Number of pages6
Volume1821
ISBN (Print)3540676899, 9783540450498
DOIs
Publication statusPublished - 2000
Event13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 - New Orleans, United States
Duration: 19 Jun 200022 Jun 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1821
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000
Country/TerritoryUnited States
CityNew Orleans
Period19/06/0022/06/00

Bibliographical note

Lecture Notes in AI, vol. 1821

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