The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning - Special issue on learning with probabilistic representations
Machine Learning
User-Driven Ontology Evolution Management
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Managing Multiple Ontologies and Ontology Evolution in Ontologging
Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Ontology Versioning in an Ontology Management Framework
IEEE Intelligent Systems
An approach to detection ontology changes
ICWE '06 Workshop proceedings of the sixth international conference on Web engineering
Proceedings of the 2007 ACM symposium on Document engineering
Toward a New Generation of Semantic Web Applications
IEEE Intelligent Systems
Comparison between Ontology Distances (Preliminary Results)
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Formally measuring agreement and disagreement in ontologies
Proceedings of the fifth international conference on Knowledge capture
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Ontology metadata vocabulary and applications
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Ranking ontologies with AKTiveRank
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Impact of using relationships between ontologies to enhance the ontology search results
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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When different versions of an ontology are published online, the links between them are often lost as the standard mechanisms (such as owl:versionInfo and owl:priorVersion) to expose these links are rarely used. This generates issues in scenarios where people or applications are required to make use of large scale, heterogenous ontology collections, implicitly containing multiple versions of ontologies. In this paper, we propose a method to detect automatically versioning links between ontologies which are available online through a Semantic Web search engine. Our approach is based on two main steps. The first step selects candidate pairs of ontologies by using versioning information expressed in their identifiers. In the second step, these candidate pairs are characterized through a set of features, including similarity measures, and classified by using Machine Learning Techniques, to distinguish the pairs that represent versions from the ones that do not.We discuss the features used, the methodology employed to train the classifiers and the precision obtained when applying this approach on the collection of ontologies of the Watson Semantic Web search engine.