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Authors: Qamer Uddin Sabri 1 ; Johannes Bayer 1 ; Viktor Ayzenshtadt 2 ; Syed Saqib Bukhari 3 ; Klaus-Dieter Althoff 2 and Andreas Dengel 1

Affiliations: 1 German Research Center for Artificial Intelligence and Technical University Kaiserslautern, Germany ; 2 German Research Center for Artificial Intelligence and University of Hildesheim, Germany ; 3 German Research Center for Artificial Intelligence, Germany

ISBN: 978-989-758-222-6

Keyword(s): Graph Matching, Subgraph Matching, Graph Isomorphism, Architectural Floor Plan, Case-Based Reasoning, Pattern Recognition.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Case-Based Reasoning ; Data Engineering ; Enterprise Information Systems ; Information Retrieval ; Knowledge Acquisition and Representation ; Ontologies and the Semantic Web ; Pattern Recognition ; Shape Representation ; Software Engineering ; Symbolic Systems ; Theory and Methods

Abstract: Until today, for the conceptual design of architectural floor plans, architects widely follow the traditional pen and paper based method to draw the conceptual floor plans, and retrieve the similar floor plans in the printed reference collections. In this paper we present a complete end-to-end system that helps architects to retrieve similar floor plans in early design phases. This work makes a three-fold contribution. Firstly, we have adapted three state of the art techniques to retrieve the similar floor plans: case-based reasoning (CBR), exact graph matching, and inexact graph matching. Secondly, we conducted a test to detect the computational limits of the searching techniques. And finally, we performed a qualitative analysis by running more realistic test cases created by architects while keeping in mind the computational limits. For visualization of results, we have integrated advanced version of our previously implemented web-based user interface. The qualitative analysis showe d that the exact graph matching gives in general better results for a majority of test cases, as compared to other two methods. The novelty of our approach is that it combines CBR, exact, and inexact graph matching in one system in the domain of retrieval of architectural floor plans. (More)

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Paper citation in several formats:
Sabri, Q.; Bayer, J.; Ayzenshtadt, V.; Saqib Bukhari, S.; Althoff, K. and Dengel, A. (2017). Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 50-60. DOI: 10.5220/0006112800500060

@conference{icpram17,
author={Qamer Uddin Sabri. and Johannes Bayer. and Viktor Ayzenshtadt. and Syed Saqib Bukhari. and Klaus{-}Dieter Althoff. and Andreas Dengel.},
title={Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={50-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006112800500060},
isbn={978-989-758-222-6},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Semantic Pattern-based Retrieval of Architectural Floor Plans with Case-based and Graph-based Searching Techniques and their Evaluation and Visualization
SN - 978-989-758-222-6
AU - Sabri, Q.
AU - Bayer, J.
AU - Ayzenshtadt, V.
AU - Saqib Bukhari, S.
AU - Althoff, K.
AU - Dengel, A.
PY - 2017
SP - 50
EP - 60
DO - 10.5220/0006112800500060

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