Abstract
This paper deals with the problem of supporting the user in indoor route search. The application requires knowledge related to building structure and topology, and to functional and organizational structure of building spaces. The specified building ontology contains all concepts related to building elements enabling both vertical and horizontal communication and provided by Building Information Modeling (BIM). This ontology enables us to specify a graph, in which the required information (retrieved from the IFC file) representing the topology of the building is stored. The information about functional and organizational structure of building spaces is kept in the XML file. The knowledge stored in the graph and the XML file allows for generating the GUI of the application, where the start and end point of the search path together with personal preferences concerning this route, are specified. Then the modified Dijkstra algorithm is used to find the most appropriate route.
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Strug, B., Ślusarczyk, G. (2021). Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12798. Springer, Cham. https://doi.org/10.1007/978-3-030-79457-6_20
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DOI: https://doi.org/10.1007/978-3-030-79457-6_20
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