Semantic 3D City Agents—An intelligent automation for dynamic geospatial knowledge graphs
نویسندگان
چکیده
This paper presents a system of autonomous intelligent software agents, based on cognitive architecture, capable automated instantiation, visualisation and analysis multifaceted City Information Models in dynamic geospatial knowledge graphs. Design JPS Agent Framework Routed Knowledge Graph Access components was required order to provide backbone infrastructure for an agent as well technology agnostic graph access enabling automation multi-domain data interoperability. Development CityImportAgent, CityExportAgent DistanceAgent showcased capabilities the Cities Graph. The agents successfully created semantic model Berlin LOD 2, compliant with CityGML 2.0 standard consisting 419 909 661 triples described using OntoCityGML. also visualised analysed by autonomously tracking interactions web interface enriched adding new information graph. way it possible design able meet demands imposed Industry 4.0 link other representations World Avatar.
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ژورنال
عنوان ژورنال: Energy and AI
سال: 2022
ISSN: ['2666-5468']
DOI: https://doi.org/10.1016/j.egyai.2022.100137