Paper Info
Title
Ontology Representation and Inference Based on State Controlled Coloured Petri Nets
Abstract
Many automatic or semi-automatic extraction techniques have been proposed for building domain ontologies in recent years but the correctness, consistency and completeness of the extracted ontologies is often either not considered or is not formally verified. The issue of detecting potential anomalies in an ontology has not to date been adequately addressed. In this paper we propose a formal technique for ontology representation and inference, based on which an automatic technique for ontology verification can be developed so as to be able to detect and identify potential anomalies in an ontology. The technique makes use of a State Controlled Coloured Petri Net (SCCPN), which is a high level net that combines a Coloured Petri Net and a State Controlled Petri Net. This work presents a formal definition of SCCPN for modeling ontologies and the mapping between them as well as formulating the ontology inference in SCCPN with specified inference mechanisms.
Year
DOI
Venue
2010
10.3233/978-1-60750-690-4-368
European Journal of Combinatorics
Keywords
Field
DocType
domain ontology,automatic technique,petri nets,state controlled petri,potential anomaly,specified inference mechanism,ontology representation,semi-automatic extraction technique,ontology verification,formal technique,ontology inference
Ontology (information science),Ontology,Ontology-based data integration,Coloured Petri net,Petri net,Process ontology,Computer science,Inference,Correctness,Theoretical computer science
Conference
Volume
ISSN
Citations 
225
0922-6389
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Ke Wang1619.24
James N. K. Liu252944.35
Wei-min Ma300.34