Data Models for Knowledge Organization Tools: Evolution and Perspectives

This paper focuses on the need for knowledge organization (KO) tools, such as library classifications, thesauri and subject heading systems, to be fully disclosed and available in the open network environment. The authors look at the place and value of traditional library knowledge organization tool...

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Bibliographic Details
Main Authors: Cordeiro, Maria Inês, Slavic, Aida
Other Authors: López-Huertas, Marí­a J.
Language:en
Published: Ergon Verlag 2002
Subjects:
Online Access:http://hdl.handle.net/10150/105384
Description
Summary:This paper focuses on the need for knowledge organization (KO) tools, such as library classifications, thesauri and subject heading systems, to be fully disclosed and available in the open network environment. The authors look at the place and value of traditional library knowledge organization tools in relation to the technical environment and expectations of the Semantic Web. Future requirements in this context are explored, stressing the need for KO systems to support semantic interoperability. In order to be fully shareable KO tools need to be reframed and reshaped in terms of conceptual and data models. The authors suggest that some useful approaches to this already exist in methodological and technical developments within the fields of ontology modelling and lexicographic and terminological data interchange.