Towards a general theory of action and time
Artificial Intelligence
A methodology for ontology integration
Proceedings of the 1st international conference on Knowledge capture
The Rational Unified Process: An Introduction, Second Edition
The Rational Unified Process: An Introduction, Second Edition
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Using Prior Knowledge: Problems and Solutions
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
SOFSEM'08 Proceedings of the 34th conference on Current trends in theory and practice of computer science
Data semantics in location-based services
Journal on Data Semantics III
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In the Ontology Engineering area several processes to ease the time consuming and complex task of ontology building have been proposed. In this paper we describe how a Time ontology was built by means of reuse - in our case using a composition/integration approach - following an evolving prototyping life cycle. This particular process involved several complex subprocesses: knowledge acquisition and requirement specification using Natural Language techniques, reverse engineering, knowledge representation translation, technical evaluation. We show how they can all be combined and describe the techniques and best practices that were used. We discuss the interesting features of this process, namely effort required. Finally, we analyze what is changing in ontology building and compare this particular process with a modern software engineering approach, the Rational Unified Process.