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The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design

Authors: Evangelos A Stathopoulos; Alexandros Vassiliades; Sotiris Diplaris; Stefanos Vrochidis; Nick Bassiliades; Ioannis Kompatsiaris;

The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design

Abstract

The evolution of Knowledge Graphs (KGs), during the last two decades, has encouraged developers to create more and more context related KGs. This advance is extremely important because Artificial Intelligence (AI) applications can access open domain specific information in a semantically rich, machine understandable format. In this paper, we present the MindSpaces KG, a KG that can represent emotions-relevant and functional design for the indoor and urban adaptive design. The MindSpaces KG can integrate emotional, physiological, visual, and textual measurements, for the development of online adapting environments. Moreover, we present a reasoning mechanism that extracts crucial knowledge from the MindSpaces KG, which can help users in real-life scenarios. The scenarios were provided by experts.

Keywords

Knowledge Graph, Ontology, Reasoning Mechanism, Indoor/Urban Adaptive Design, Semantic Web

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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