A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Formalizing ontological commitments
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
The unified software development process
The unified software development process
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Towards Ontological Foundations for UML Conceptual Models
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Business and Enterprise Ontology Management with SymOntoX
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Ontological Engineering
Overview and analysis of methodologies for building ontologies
The Knowledge Engineering Review
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites
Computational Linguistics
IOEM - ontology engineering methodology for large systems
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
PRONTO: An ontology for comprehensive and consistent representation of product information
Engineering Applications of Artificial Intelligence
OntoClippy: A User-Friendly Ontology Design and Creation Methodology
International Journal of Intelligent Information Technologies
Hi-index | 0.02 |
Ontologies are the backbone of the Semantic Web, a semantic-aware version of the World Wide Web. To the end of making available large-scale, high quality domain ontologies, effective and usable methodologies are needed to facilitate the process of Ontology Building. Many of the methods proposed so far only partly refer to well-known and widely used standards from other areas, like software engineering and knowledge representation. In this paper we present UPON, a methodology for ontology building derived from the Unified Software Development Process. A comparative evaluation with other methodologies, as well as the results of its adoption in the context of the Athena Integrated Project, are also discussed.