Information extraction and integration from heterogeneous, distributed, autonomous information sources - A federated ontology-driven query-centric approach

Jaime A.Reinoso Castillo, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant G. Honavar

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

30 Scopus citations

Abstract

This paper motivates and describes the data integration component of INDUS (Intelligent Data Understanding System) environment for data-driven information extraction and integration from heterogeneous, distributed, autonomous information sources. The design of INDUS is motivated by the requirements of applications such as scientific discovery, in which it is desirable for users to be able to access, flexibly interpret, and analyze data from diverse sources from different perspectives in different contexts. INDUS implements a federated, query-centric approach to data integration using user-specified ontologies.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE International Conference on Information Reuse and Integration, IRI 2003
EditorsWaleed W. Smari, Atif M. Memon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages183-191
Number of pages9
ISBN (Electronic)0780382420, 9780780382428
DOIs
StatePublished - 2003
EventIEEE International Conference on Information Reuse and Integration, IRI 2003 - Las Vegas, United States
Duration: Oct 27 2003Oct 29 2003

Publication series

NameProceedings of the 2003 IEEE International Conference on Information Reuse and Integration, IRI 2003

Other

OtherIEEE International Conference on Information Reuse and Integration, IRI 2003
CountryUnited States
CityLas Vegas
Period10/27/0310/29/03

Keywords

  • Data integration
  • Federated database
  • Ontology

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture
  • Information Systems
  • Software

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