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Ontology-Based Understanding of Architectural Drawings

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Graphic Recognition. Current Trends and Challenges (GREC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9657))

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Abstract

In this paper we present a knowledge base of architectural documents aiming at improving existing methods of floor plan classification and understanding. It consists of an ontological definition of the domain and the inclusion of real instances coming from both, automatically interpreted and manually labeled documents. The knowledge base has proven to be an effective tool to structure our knowledge and to easily maintain and upgrade it. Moreover, it is an appropriate means to automatically check the consistency of relational data and a convenient complement of hard-coded knowledge interpretation systems.

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Notes

  1. 1.

    http://protege.cim3.net/cgi-bin/wiki.pl?ProjectsThatUseProtege.

  2. 2.

    The SGT-tool and the CVC-FP database are freely available at http://dag.cvc.uab.es/resources/floorplans.

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Authors and Affiliations

  1. Computer Vision Center, Universitat Autònoma de Barcelona, Campus UAB, 08193, Bellatera, Barcelona, Catalonia, Spain

    Lluís-Pere de las Heras, Oriol Ramos Terrades & Josep Lladós

Authors
  1. Lluís-Pere de las Heras
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  2. Oriol Ramos Terrades
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  3. Josep Lladós
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Corresponding author

Correspondence to Oriol Ramos Terrades .

Editor information

Editors and Affiliations

  1. Université de Lorraine, Vandoeuvre-lès-Nancy, France

    Bart Lamiroy

  2. Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil

    Rafael Dueire Lins

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de las Heras, LP., Ramos Terrades, O., Lladós, J. (2017). Ontology-Based Understanding of Architectural Drawings. In: Lamiroy, B., Dueire Lins, R. (eds) Graphic Recognition. Current Trends and Challenges. GREC 2015. Lecture Notes in Computer Science(), vol 9657. Springer, Cham. https://doi.org/10.1007/978-3-319-52159-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-52159-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52158-9

  • Online ISBN: 978-3-319-52159-6

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