EgoIR: ontology-based information retrieval intended for eGovernment

Ortiz-Rodriguez, F. and Palma, R. and Villazón-Terrazas, B. (2007). EgoIR: ontology-based information retrieval intended for eGovernment. In: "2nd International Applications of Semantic Technologies (AST) Workshop – Informatik 2007", 25 de Septiembre de 2007, Bremen, Alemania. ISBN 978-3-88579-203-1.

Description

Title: EgoIR: ontology-based information retrieval intended for eGovernment
Author/s:
  • Ortiz-Rodriguez, F.
  • Palma, R.
  • Villazón-Terrazas, B.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2nd International Applications of Semantic Technologies (AST) Workshop – Informatik 2007
Event Dates: 25 de Septiembre de 2007
Event Location: Bremen, Alemania
Title of Book: INFORMATIK 2007 Informatik trifft Logistik Band 1 Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen
Date: September 2007
ISBN: 978-3-88579-203-1
Subjects:
Freetext Keywords: oeg
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group – OEG
Creative Commons Licenses: None

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Abstract

The eGovernment is a field of applications for the Semantic Web. The eGovernment also is becoming an important research area and faces considerable challenges to achieve interoperability because of the semantic differences of interpretation, complexity and width of scope. It is however an open question how to apply these techniques fruitfully in the eGovernment domain. This paper addresses the importance of providing a semantic application that, within the eGovernment domain, is capable of dealing with the issue of the retrieval of government documentation in a timely and accurate way. In this paper, we present an approach ontology-based for retrieving government information.

More information

Item ID: 5167
DC Identifier: https://oa.upm.es/5167/
OAI Identifier: oai:oa.upm.es:5167
Deposited by: Dr Oscar Corcho
Deposited on: 03 Dec 2010 09:50
Last Modified: 08 Mar 2023 09:39
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