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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2014: Intelligent Information and Database Systems pp 191–200Cite as

Geodint: Towards Semantic Web-Based Geographic Data Integration

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8397))

Abstract

The main objective of data integration is to unify data from different sources and to provide a unified view to the users. The integration of heterogeneous data has some benefits both for companies and for research. However, finding the common schema and filtering the same element becomes difficult due to the heterogeneity. In this paper, a system is presented that is able to integrate geographic data from different sources using Semantic Web technologies. The problems that appear during the integration are also handled by the system. An ontology has been developed that stores the common attributes that are given after schema matching. To filter the inconsistent and duplicate elements, clustering and string similarity metrics have been used. The data given after integrating can be used among others for touristic purposes, for example it could provide data to an augmented reality browser.

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Author information

Authors and Affiliations

  1. Eötvös Loránd University, Budapest, Hungary

    Tamás Matuszka & Attila Kiss

Authors
  1. Tamás Matuszka
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  2. Attila Kiss
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen  & Bogdan Trawiński  & 

  2. Faculty of Engineering, Department of Computer Engineering, King Mongkut’s Institute of Technology Ladkrabang, 10520, Bangkok, Thailand

    Boonwat Attachoo

  3. Software Engineering Program, King Mongkut’s Institute of Technology Ladkrabang, 10520, Bangkok, Thailand

    Kulwadee Somboonviwat

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© 2014 Springer International Publishing Switzerland

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Matuszka, T., Kiss, A. (2014). Geodint: Towards Semantic Web-Based Geographic Data Integration. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8397. Springer, Cham. https://doi.org/10.1007/978-3-319-05476-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-05476-6_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05475-9

  • Online ISBN: 978-3-319-05476-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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