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

Luis M. Vilches-Blázquez, Oscar Corcho

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

4 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 20th International Workshop on Database and Expert Systems Applications, DEXA2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-103
Number of pages5
ISBN (Print)9780769537634
DOIs
StatePublished - 2009
Externally publishedYes
Event20th International Workshop on Database and Expert Systems Applications, DEXA2009 - Linz, Austria
Duration: 31 Aug 20094 Sep 2009

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
ISSN (Print)1529-4188

Conference

Conference20th International Workshop on Database and Expert Systems Applications, DEXA2009
Country/TerritoryAustria
CityLinz
Period31/08/094/09/09

Keywords

  • Co-reference
  • Geographical databases
  • Heterogeneity
  • Heuristic approach
  • Instance duplication
  • Linked data

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