Using text processing techniques to automatically enrich a domain ontology

Authors:
Paola Velardi;Paolo Fabriani;Michele Missikoff
Affiliations:
Dipartimento di Scienze, dell'Informazione Rome, Italy;Dipartimento di Scienze, dell'Informazione Rome, Italy;IASI-CNR, Rome, Italy
Venue:
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Year:
2001

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Abstract

Though the utility of domain Ontologies is now widely acknowledgedin an increasing number of domains, several barriers must beovercome before Ontologies become practical and useful tools. Acritical issue is the task of identifying, defining, and enteringthe concept definitions. In case of large and complex applicationdomains this task can be lengthy, costly, and controversial (sincedifferent persons may have different points of view about the sameconcept). To reduce time, cost (and, sometimes, harsh discussions)it is highly advisable to refer, in constructing or updating anontology, to the documents available in the field. In this paper wedescribe OntoLearn, a text-mining tool devised to improvehuman productivity during the process of ontology construction.