Browsing large digital library collections using classification hierarchies
Proceedings of the eighth international conference on Information and knowledge management
Knowledge maps: An essential technique for conceptualisation
Data & Knowledge Engineering
Ontology-driven document enrichment: principles, tools and applications
International Journal of Human-Computer Studies
Extracting focused knowledge from the semantic web
International Journal of Human-Computer Studies
Self-Organizing Maps
A Study of Approaches to Hypertext Categorization
Journal of Intelligent Information Systems
Rough Sets for Data Mining and Knowledge Discovery (Abstract)
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Clustering Ontology-Based Metadata in the Semantic Web
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Knowledge Is Power: The Semantic Web Vision
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Layering the Semantic Web: Problems and Directions
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Gathering Metadata from Web-Based Repositories of Historical Publications
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Ontology languages for the semantic web: A never completely updated review
Knowledge-Based Systems
On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
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This paper describes an approach for identifying Ontology components by using Self-Organizing Maps (SOM). Our system represents the knowledge contained in a particular domain, any kind of digital archive, by assembling and displaying its ontology components. This novel approach provides a solution to the problem of semi-automatic ontology construction, 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.