A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Ontologies: How can They be Built?
Knowledge and Information Systems
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning
IEEE Transactions on Knowledge and Data Engineering
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
Verification of Knowledge-Based Systems Using Predicate/Transition Nets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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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.