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A literature overview of knowledge sharing between Petri nets and ontologies

Published online by Cambridge University Press:  28 July 2016

Haitao Cheng  and
Zongmin Ma
Haitao Cheng
Affiliation:
College of Computer Science & Engineering, Northeastern University, Shenyang 110819, China e-mail: [email protected]
Zongmin Ma
Affiliation:
College of Computer Science & Engineering, Northeastern University, Shenyang 110819, China e-mail: [email protected] College of Computer Science & Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China e-mail: [email protected]
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Abstract

Knowledge representation is a subarea of artificial intelligence concerned with using formal symbols to represent a set of facts within a knowledge domain. Two popular knowledge representation languages, namely Petri net and ontology, are promising knowledge sharing and reusing methods in knowledge engineering. The combination of Petri net and ontology can facilitate achieving complementary advantages. Currently, many efforts have been done on knowledge sharing between Petri nets and ontologies. To investigate these issues and more importantly serve as identifying the direction of knowledge sharing between Petri nets and ontologies, in this paper we give a comprehensive literature overview of knowledge sharing between Petri net models and ontology models to satisfy the obvious need. In detail, we discuss the knowledge sharing from two aspects: the different knowledge representation approaches of ontology to represent and reason Petri net and issues of constructing Petri net from ontology. In addition, other important issues on applications and directions for future research are discussed in detail.

Type
Articles
Information
The Knowledge Engineering Review , Volume 31 , Issue 3 , June 2016 , pp. 239 - 260
Copyright
© Cambridge University Press, 2016 

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