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2024 Volume 39
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RESEARCH ARTICLE   Open Access    

Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation

  • Information Technologies Institute, Center for Research and Technology Hellas, Thessaloniki, Greece

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  • Corresponding author: Corresponding author: Evangelos Stathopoulos; Email: estathop@iti.gr 
  • Abstract: In the previous two decades, knowledge graphs (KGs) have evolved significantly, inspiring developers to build ever-more context-related KGs. Due to this development, artificial intelligence (AI) applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible. In this article, a framework that depicts functional design for indoor workspaces and urban adaptive design, in order to help architects, artists, and interior designers for the design and construction of an urban or indoor workspace, based on the emotions of human individuals, is introduced. For the creation of online adaptive environments, the framework may incorporate emotional, physiological, visual, and textual measures. Additionally, an information retrieval mechanism that extracts critical information from the framework in order to assist the architects, artists, and the interior designers is presented. The framework provides access to commonsense knowledge about the (re-)design of an urban area and an indoor workspace, by suggesting objects that need to be placed, and other modifications that can be applied to the location, in order to achieve positive emotions. The emotions referred reflect to the emotions experienced by an individual when being in the indoor or urban area, which are pointers for the functionality, the memorability, and the admiration of the location. The framework also performs semantic matching between entities from the web KG ConceptNet, using semantic knowledge from ConceptNet and WordNet, with the ones existing in the KG of the framework. The paper provides a set of predefined SPARQL templates that specifically handle the ontology upon which the knowledge retrieval system is based. The framework has an additional argumentation function that allows users to challenge the knowledge retrieval component findings. In the event that the user prevails in the reasoning, the framework will learn new knowledge.
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  • Cite this article

    Evangelos A. Stathopoulos, Alexandros Vassiliades, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris. 2024. Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000043
    Evangelos A. Stathopoulos, Alexandros Vassiliades, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris. 2024. Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000043
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RESEARCH ARTICLE   Open Access    

Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation

  • Information Technologies Institute, Center for Research and Technology Hellas, Thessaloniki, Greece

  • Corresponding author: Corresponding author: Evangelos Stathopoulos; Email: estathop@iti.gr 
  • Received: 29 March 2023
  • Revised: 31 May 2024
  • Accepted: 10 June 2024
  • Published online: 21 October 2024
The Knowledge Engineering Review  39,  2024, 39(1)  |  Cite this article

Abstract: Abstract: In the previous two decades, knowledge graphs (KGs) have evolved significantly, inspiring developers to build ever-more context-related KGs. Due to this development, artificial intelligence (AI) applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible. In this article, a framework that depicts functional design for indoor workspaces and urban adaptive design, in order to help architects, artists, and interior designers for the design and construction of an urban or indoor workspace, based on the emotions of human individuals, is introduced. For the creation of online adaptive environments, the framework may incorporate emotional, physiological, visual, and textual measures. Additionally, an information retrieval mechanism that extracts critical information from the framework in order to assist the architects, artists, and the interior designers is presented. The framework provides access to commonsense knowledge about the (re-)design of an urban area and an indoor workspace, by suggesting objects that need to be placed, and other modifications that can be applied to the location, in order to achieve positive emotions. The emotions referred reflect to the emotions experienced by an individual when being in the indoor or urban area, which are pointers for the functionality, the memorability, and the admiration of the location. The framework also performs semantic matching between entities from the web KG ConceptNet, using semantic knowledge from ConceptNet and WordNet, with the ones existing in the KG of the framework. The paper provides a set of predefined SPARQL templates that specifically handle the ontology upon which the knowledge retrieval system is based. The framework has an additional argumentation function that allows users to challenge the knowledge retrieval component findings. In the event that the user prevails in the reasoning, the framework will learn new knowledge.

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    Acknowledgments

    • This work has been supported by the EC-funded projects MindSpaces (H2020-825079) and ReSilence (101070278). The publication of the article in OA mode was financially supported in part by HEAL-Link.

    • https://github.com/valexande/MindSpacesPUC1-2

    • http://160.40.52.169:6161

    • https://www2.deloitte.com/content/dam/Deloitte/us/Documents/process-and-operations/us-business-chemistry-infographic.pdf.

    • https://www.nltk.org/

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    Evangelos A. Stathopoulos, Alexandros Vassiliades, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris. 2024. Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000043
    Evangelos A. Stathopoulos, Alexandros Vassiliades, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris. 2024. Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000043
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