engleski

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

Fuzzy spatio-temporal knowledge is required in a wide range of application fields, including GIS, spatio-temporal database, and artificial intelligence. Ontology, as a formal method of knowledge representation, plays a key role in the Semantic Web. Therefore, how to extend ontologies to represent fuzzy spatio-temporal knowledge needs to be solved. In this paper, we propose an approach for representing fuzzy spatio-temporal knowledge with ontologies and investigate a formal construction of fuzzy spatio-temporal ontologies based on fuzzy Petri nets. First, we propose a formal definition of fuzzy spatio temporal ontologies. In addition, based on fuzzy description logic, a description logic named the fuzzy spatio-temporal description logic, which provides a logical basis for the fuzzy spatio- temporal ontologies, is presented. Furthermore, a fuzzy spatiotemporal web ontology language, which is fuzzy and spatio-temporal extension of standard ontology language OWL, is proposed to make the fuzzy spatio-temporal ontologies easy to use and support efficient reasoning. On the basis of fuzzy spatio-temporal ontologies, we investigate a formal approach for constructing fuzzy spatiotemporal ontologies from fuzzy spatio- temporal Petri nets, ie, transforming fuzzy spatio-temporal Petri nets (including Petri net model and Petri net instance) into fuzzy spatio- temporal ontologies at both structure and instance levels. Finally, we prove the correctness of the transformation and provide a detailed transformation example.

construction ; fuzzy Petri nets ; fuzzy spatio-temporal ontologies ; ontologies ; SemanticWeb

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