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Knowledge Based Optimal Recommendation of Spatial Technologies for Documentation of Buildings

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Advances in Digital Cultural Heritage

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10754))

Abstract

Spatial and spectral recording of material cultural heritage is an interdisciplinary task which requires mutual understanding and agreement for achieving a common goal. This task is often tedious, time consuming and not recorded. COSCHKR captures the core knowledge of these interdisciplinary interactions and logically structures it. COSCHKR is an ontology based knowledge representation that represents the experts’ knowledge explicitly so that it can be reasoned to recommend technology(ies) and their technical solutions. In this paper we discuss how technologies are recommended based on their demands from the cultural heritage application especially focusing on large objects. We also demonstrate how other technologies that are suitable for recording smaller objects are ignored while recommending technologies such as photogrammetry and laser scanning suitable for large objects.

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Notes

  1. 1.

    http://www.sachsenspiegel-online.de/export/index.html.

  2. 2.

    http://www.rgzm.de/kur/.

  3. 3.

    http://web.rgzm.de/.

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Correspondence to Ashish Karmacharya , Stefanie Wefers or Frank Boochs .

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Karmacharya, A., Wefers, S., Boochs, F. (2018). Knowledge Based Optimal Recommendation of Spatial Technologies for Documentation of Buildings. In: Ioannides, M., Martins, J., Žarnić, R., Lim, V. (eds) Advances in Digital Cultural Heritage. Lecture Notes in Computer Science(), vol 10754. Springer, Cham. https://doi.org/10.1007/978-3-319-75789-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-75789-6_5

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