Aspects of the taxonomic relation in the biomedical domain
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Software Engineering: Theory and Practice
Software Engineering: Theory and Practice
Supporting ontological analysis of taxonomic relationships
Data & Knowledge Engineering - ER2000
A reusable lexical database tool for machine translation
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Why Evaluate Ontology Technologies? Because It Works!
IEEE Intelligent Systems
Studying evolution of a branch of knowledge by constructing and analyzing its ontology
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
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Relational databases have been used to represent lexical knowledge since the days of machine-readable dictionaries. However, although software engineering provides a methodological framework for the construction of databases, most developing efforts focus on content, implementation and time-saving issues, and forget about the software engineering aspects of software and database construction. We have defined a methodology for the development of lexical resources that covers this and other aspects, by following a sound software engineering approach to formally represent knowledge. Nonetheless, the conceptual model from which it departs has some major limitations that need to be overcome. Based on a short analysis of common problems in existing lexical resources, we present an upgraded conceptual model as a first step towards the methodological development of a hierarchically organized concept-based terminology database, to improve the access to medical information as part of the SINAMED and ISIS projects.