An ontological approach to domain engineering
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
A Probabilistic Extension to Ontology Language OWL
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Ontology Versioning in an Ontology Management Framework
IEEE Intelligent Systems
A Modularization-Based Approach to Finding All Justifications for OWL DL Entailments
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Semantic recognition of ontology refactoring
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Categorising logical differences between OWL ontologies
Proceedings of the 20th ACM international conference on Information and knowledge management
Hi-index | 0.00 |
The dynamic domains change over time, in which the modified knowledge in the Ontology that represents the domain has to be considered. In such situation, several versions of the same Ontology can be found with unknown differences between them. Several methods for Ontology's alignment exist, however very few are interested in the comparison between versions. This study implements a method of comparing Ontology's versions. It extracts differences between OWL Ontology's versions. In order to calculate the distance between two Concepts, the method is based on the combination of similarity measures proposed by Levenshtein and OWL's scheme of characteristics. The algorithm used within the method integrates different heuristics matchers for comparing Ontology versions. At the end of the study, a description of Software tool is given. The result of executing this approach on three versions of Cancer disease Ontology is summarized in a change data-base that includes all the existing differences. For the evaluation, two criteria: Recall and Precision are used to validate the model.