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Link to original content: https://doi.org/10.48550/arXiv.2203.04741
[2203.04741] Modeling and Validating Temporal Rules with Semantic Petri-Net for Digital Twins
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Computer Science > Artificial Intelligence

arXiv:2203.04741 (cs)
[Submitted on 4 Mar 2022 (v1), last revised 17 Apr 2022 (this version, v2)]

Title:Modeling and Validating Temporal Rules with Semantic Petri-Net for Digital Twins

Authors:Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu
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Abstract:Semantic rule checking on RDFS/OWL data has been widely used in the construction industry. At present, semantic rule checking is mainly performed on static models. There are still challenges in integrating temporal models and semantic models for combined rule checking. In this paper, Semantic Petri-Net (SPN) is proposed as a novel temporal modeling and validating method, which implements the states and transitions of the Colored Petri-Net directly based on RDFS and SPARQL, and realizes two-way sharing of knowledge between domain semantic webs and temporal models in the runtime. Several cases are provided to demonstrate the possible applications in digital twins with concurrent state changes and dependencies.
Comments: Preprint submitted to 29th International Workshop on Intelligent Computing in Engineering (EG-ICE)
Subjects: Artificial Intelligence (cs.AI); Databases (cs.DB)
Cite as: arXiv:2203.04741 [cs.AI]
  (or arXiv:2203.04741v2 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2203.04741
Related DOI: https://doi.org/10.7146/aul.455.c193

Submission history

From: Han Liu [view email]
[v1] Fri, 4 Mar 2022 00:34:59 UTC (413 KB)
[v2] Sun, 17 Apr 2022 15:19:55 UTC (893 KB)
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