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Ontology-Based Data Collection for Heritage Buildings

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Book cover Digital Cultural Heritage

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10605))

Abstract

Innovative application and use of a knowledge-based system may support an HB expert to aggregate data into meaningful information that support any of the HB lifecycle activities: initial analysis from experts, documentation, preventive conservation, restoration, reconstruction, economic aspects of HB, its use and management.

This paper first investigates ontology-based knowledge based systems for HB. Secondly, the need for comprehensive ontology-based data collection for HB suitable for trans-disciplinary domain experts and stakeholders is highlighted based on real HB use case requirements. Finally, conceptual knowledge-based framework in development that includes both an ontology for a HB domain and a knowledge base is briefly presented. It is expected that the presented framework could enable proactive reduction of time for searching solutions for HB, reduction of risks involved, reduction of unplanned events related to costs, time, materials and human resources.

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Acknowledgement

The paper is a work in progress in scope of the project COST TD1406 - Innovation in Intelligent Management of Heritage Buildings. Authors are grateful for the photos courtesy of dr. Bogdan Dugonik.

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Authors and Affiliations

  1. Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Maribor, Slovenia

    Andrej Tibaut & Daniela Dvornik Perhavec

  2. Initut, Institute of Information Technology Ltd., Ljubljana, Slovenia

    Branko Kaučič

Authors
  1. Andrej Tibaut
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  2. Branko Kaučič
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  3. Daniela Dvornik Perhavec
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Correspondence to Andrej Tibaut .

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Editors and Affiliations

  1. Cyprus University of Technology , Limassol, Cyprus

    Marinos Ioannides

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Tibaut, A., Kaučič, B., Dvornik Perhavec, D. (2018). Ontology-Based Data Collection for Heritage Buildings. In: Ioannides, M. (eds) Digital Cultural Heritage. Lecture Notes in Computer Science(), vol 10605. Springer, Cham. https://doi.org/10.1007/978-3-319-75826-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-75826-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75825-1

  • Online ISBN: 978-3-319-75826-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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