Evolva: A Comprehensive Approach to Ontology Evolution

Authors:
Fouad Zablith
Affiliations:
Knowledge Media Institute (KMi), The Open University, Milton Keynes, United Kingdom MK7 6AA
Venue:
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Year:
2009

Citing 9
Cited 3

Position paper: ontology construction from online ontologies

Proceedings of the 15th international conference on World Wide Web
Ontology Matching

Ontology Matching
A multi-agent system for building dynamic ontologies

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Exploring the Semantic Web as Background Knowledge for Ontology Matching

Journal on Data Semantics XI
Discovering Missing Background Knowledge in Ontology Matching

Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Winnowing ontologies based on application use

ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
A framework for ontology evolution in collaborative environments

ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Consistent evolution of OWL ontologies

ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Matching unstructured vocabularies using a background ontology

EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks

Developing and applying a company, product and business event ontology for text mining

i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Utility-driven evolution recommender for a constrained ontology

Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Modeling ontology evolution with SetPi

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Ontology evolution is increasingly gaining momentum in the area of Semantic Web research. Current approaches target the evolution in terms of either content, or change management, without covering both aspects in the same framework. Moreover, they are slowed down as they heavily rely on user input. We tackle the aforementioned issues by proposing Evolva, a comprehensive ontology evolution framework, which handles a complete ontology evolution cycle, and makes use of background knowledge for decreasing user input.