The use of machine-generated ontologies in dynamic information seeking

Giovanni Modica, Avigdor Gal, Hasan M. Jamil

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

Abstract

Information seeking is the process in which human beings recourse to information resources in order to increase their level of knowledge with respect to their goals. In this paper we offer a methodology for automating the evolution of ontologies and share the results of our experiments in supporting a user in seeking information using interactive systems. The main conclusion of our experiments is that if one narrows down the scope of the domain, ontologies can be extracted with a very high level of precision (more than 90% in some cases). The paper is a step in providing theoretical, as well as practical, foundation for automatic ontology generation. It is our belief that such a process would allow the creation of flexible tools to manage metadata, either as an aid to a designer or as an independent system ("smart agent") for time critical missions.

Original languageEnglish
Title of host publicationCooperative Information Systems - 9th International Conference, CoopIS 2001, Proceedings
EditorsCarlo Batini, Massimo Mecella, Fausto Giunchiglia, Paolo Giorgini
Pages433-447
Number of pages15
DOIs
StatePublished - 2001
Event9th International Conference on the Topic of Cooperative Information Systems, CoopIS 2001 - Trento, Italy
Duration: 5 Sep 20017 Sep 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2172 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on the Topic of Cooperative Information Systems, CoopIS 2001
Country/TerritoryItaly
CityTrento
Period5/09/017/09/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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