Managing Multiple Ontologies and Ontology Evolution in Ontologging
Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing
Ontology Versioning and Change Detection on the Web
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
A large-scale study of the evolution of web pages
Software—Practice & Experience - Special issue: Web technologies
Ontology Versioning in an Ontology Management Framework
IEEE Intelligent Systems
Ontology change detection using a version log
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Investigating Similarity of Ontology Instances and Its Causes
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Automatic identification of ontology versions using machine learning techniques
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Efficient regression testing of ontology-driven systems
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Change management in evolving web ontologies
Knowledge-Based Systems
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Ontologies change and evolve both on the level of schema and individuals in order to meet requirements of changing world. Changes involve adding, deleting and modifying elements in the ontology both on structural (schema related) and content (individuals related) levels. The changes can lead to incorrect conclusions and can cause malfunction of systems, which use ontology data. In this paper we describe a proposal of the method for automated detection of currentness of presented data, including meta-data, which are represented by an ontology. Method comes out from a detection of changes between different versions of the ontology. Besides identifying modifications in the ontology, the purpose of the method lies also in identifying equivalent elements, thanks to which we are able to track information sources over time. We describe possibilities of automated identification of changes between ontologies using heuristic methods and their realization as a software tool called OntoDiff for comparing ontologies.