A heuristic approach to generate good-quality linked data about hydrography

Vilches-Blázquez, LM. and Corcho, Oscar (2009). A heuristic approach to generate good-quality linked data about hydrography. In: "20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09.", 31/08/2009 - 04/09/2009., Linz, Austria. ISBN 978-0-7695-3763-4.

Description

Title: A heuristic approach to generate good-quality linked data about hydrography
Author/s:
  • Vilches-Blázquez, LM.
  • Corcho, Oscar
Item Type: Presentation at Congress or Conference (Article)
Event Title: 20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09.
Event Dates: 31/08/2009 - 04/09/2009.
Event Location: Linz, Austria
Title of Book: Proceedings of the 20th International Workshop on Database and Expert Systems Application, 2009. DEXA '09
Date: November 2009
ISBN: 978-0-7695-3763-4
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

Current Geographic Information is highly heterogeneous due to the diversity of producers and to their different needs. Geographical databases have different information structures, different levels of abstraction and scale, and are available in different natural languages. This is a major obstacle to overcome when generating good quality Linked Data from these databases. In this paper we describe how we generate Linked Data from heterogeneous hydrographical databases from various Spanish institutions. We provide a characterization of the types of heterogeneity found, based on existing semantic heterogeneity classifications, and describe a heuristic approach to deal with duplicity or co-reference problems.

More information

Item ID: 5141
DC Identifier: http://oa.upm.es/5141/
OAI Identifier: oai:oa.upm.es:5141
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5337418&tag=1
Deposited by: Dr Oscar Corcho
Deposited on: 17 Dec 2010 09:56
Last Modified: 20 Apr 2016 14:04
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