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Fuzzy spatio-temporal ontologies and formal construction based on fuzzy Petri nets

  • Published:2019-01-24 Issue:1 Volume:35 Page:204-239
  • ISSN:0824-7935
  • Container-title:Computational Intelligence
  • language:en
  • Short-container-title:Computational Intelligence

Author:

Cheng Haitao1,Yan Li2,Ma Zongmin2ORCID,Ribarić Slobodan3

Affiliation:

1. School of Computer Science; Nanjing University of Posts and Telecommunications; Nanjing China

2. College of Computer Science & Technology; Nanjing University of Aeronautics and Astronautics; Nanjing China

3. Faculty of Electrical Engineering and Computing; University of Zagreb; Zagreb Croatia

Funder

National Natural Science Foundation of China

NUPTSF

Chinese-Croatian Scientific and Technological Cooperation

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Reference58 articles.

1. Formalizing spatiotemporal knowledge in remote sensing applications to improve image interpretation;Pierkot;J Spatial Inf Sci,2013

2. Ribaric S Hrkac T A knowledge representation and reasoning based on Petri nets with spatio-temporal tokens 2007 Warsaw, Poland

3. A spatio-temporal ontology for geographic information integration;Bittner;Int J Geogr Inf Sci,2009

4. Feng XN Wang Z Yin GS Hierarchical object-oriented Petri net modeling method based on ontology 2008 Harbin, China

5. Interoperable Petri net models via ontology;Gašević;Int J Web Eng Technol,2007

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3. Query Relaxation for Uncertain Spatiotemporal XML Data;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-12-15

4. A tractable temporal description logic for reasoning fuzzy spatiotemporal knowledge;World Wide Web;2023-06-29

5. FPNs for Knowledge Representation and Reasoning: A Literature Review;Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning;2023
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