Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs
作者： Dujuan Yang , Alex J.A. Donkers , Nico H.G. Baken
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摘要: The need to integrate siloed data in the built environment led a gaining interest semantic web technologies Architecture, Engineering and Construction (AEC) sector. Especially for smart home developments, integration of information about building, users Internet Things (IoT) devices could be valuable. Resource Description Framework (RDF) is standard model web, however, labeled property graphs (LPG) also proved effective linking data. This research used Open Smart Home Dataset dataset representing kitchen compare two graph models both qualitatively quantitatively. comparison shows that native are less complex outperform atomic RDF traversals. However, qualitative advantages multi-domain multi-stakeholder environments, such as use ontologies HTTP URIs, making it more stable interoperability format.
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