Semantic 3D City Agents—An intelligent automation for dynamic geospatial knowledge graphs
Arkadiusz Chadzynski,
Shiying Li,
Ayda Grisiute,
Feroz Farazi,
Casper Lindberg,
Sebastian Mosbach,
Pieter Herthogs,
Markus Kraft
Affiliations
Arkadiusz Chadzynski
Cambridge Centre for Advanced Research and Education in Singapore (CARES), CREATE Tower, 1 Create Way, Singapore, 138602, Singapore
Shiying Li
Singapore-ETH Centre, CREATE Tower, 1 Create Way, Singapore, 138602, Singapore
Ayda Grisiute
Singapore-ETH Centre, CREATE Tower, 1 Create Way, Singapore, 138602, Singapore
Feroz Farazi
Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, West Site, CB3 0AS Cambridge, UK
Casper Lindberg
Cambridge Centre for Advanced Research and Education in Singapore (CARES), CREATE Tower, 1 Create Way, Singapore, 138602, Singapore
Sebastian Mosbach
Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, West Site, CB3 0AS Cambridge, UK
Pieter Herthogs
Singapore-ETH Centre, CREATE Tower, 1 Create Way, Singapore, 138602, Singapore
Markus Kraft
Cambridge Centre for Advanced Research and Education in Singapore (CARES), CREATE Tower, 1 Create Way, Singapore, 138602, Singapore; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, West Site, CB3 0AS Cambridge, UK; School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, Singapore, 637459, Singapore; Corresponding author at: Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, West Site, CB3 0AS Cambridge, UK.
This paper presents a system of autonomous intelligent software agents, based on a cognitive architecture, capable of automated instantiation, visualisation and analysis of multifaceted City Information Models in dynamic geospatial knowledge graphs. Design of JPS Agent Framework and Routed Knowledge Graph Access components was required in order to provide backbone infrastructure for an intelligent agent system as well as technology agnostic knowledge graph access enabling automation of multi-domain data interoperability. Development of CityImportAgent, CityExportAgent and DistanceAgent showcased intelligent automation capabilities of the Cities Knowledge Graph. The agents successfully created a semantic model of Berlin in LOD 2, compliant with CityGML 2.0 standard and consisting of 419 909 661 triples described using OntoCityGML. The system of agents also visualised and analysed the model by autonomously tracking interactions with a web interface as well as enriched the model by adding new information to the knowledge graph. This way it was possible to design a geospatial information system able to meet demands imposed by the Industry 4.0 and link it with the other multi-domain knowledge representations of The World Avatar.