A General Characterization of Representing Spatiotemporal Knowledge Graph based on OWL

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Abstract

Knowledge graph is used to represent the concepts, entities and relationships existing in the real world, which can be applied to many applications such as creative computing and recommendation system. Structurally, knowledge graph includes data layer and schema layer. Spatiotemporal knowledge graph extends the common knowledge graph to a certain extent, which is mainly reflected in the entity layer (data layer). Spatiotemporal knowledge graph includes temporal feature, spatial feature and spatiotemporal feature. In the pattern layer, spatiotemporal knowledge graph mainly adds concepts and relationships between concepts, which needs to be re-modeled. In this paper, as a spatiotemporal extension of the general description logic based on OWL logic, the spatiotemporal description logic (ST DL) is proposed to describe the spatiotemporal knowledge graph, and ST OWL is extended from three aspects: OWL class description, OWL axiom and OWL data type. Then, the corresponding transformation rules are proposed, and the instance is transformed from spatiotemporal ontology structure to spatiotemporal knowledge graph.

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APA

Zhu, L., Bai, L., Hao, X., & Yang, H. (2022). A General Characterization of Representing Spatiotemporal Knowledge Graph based on OWL. In Proceedings - 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security Companion, QRS-C 2022 (pp. 679–686). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/QRS-C57518.2022.00108

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