Identifying Ontology Components from Digital Archives for the Semantic Web

J.R.G. Pulido, R. Herrera, M. Aréchiga, A. Block, R. Acosta (Mexico), and S. Legrand (Finland)


Semantic web, ontology learning, self-organizing maps.


This paper describes an approach for identifying On tology components by using Self-Organizing Maps (SOM). Our system represents the knowledge con tained in a particular domain, any kind of digital archive, by assembling and displaying its ontology components. This novel approach provides a solu tion to the problem of semi-automatic ontology con struction, supports mechanisms that explore domains, and allows knowledge components to be displayed in a browsable manner. Further processing may be carried out on the extracted knowledge to be embedded on the semantic web for software agents to use.

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