Semi-automatic Construction of Topic Ontologies

Author:

Fortuna Blaž,Mladenič Dunja,Grobelnik Marko

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Agirre, E., Ansa, O., Hovy, E., Martinez., D.: Enriching Very Large Ontologies Using the WWW. In: Proceedings of the Ontology Learning Workshop, The 14th European Conference on Artificial Inteligence (ECAI), Berlin, Germany (2000)

2. Bisson, G., Nedellec, C., Canamero, L.: Designing clustering methods for ontology building: The Mo’K workbench. In: Proceedings of the Ontology Learning Workshop, The 14th European Conference on Artificial Inteligence (ECAI), Berlin, Germany (2000)

3. Brank, J., Grobelnik, M., Milic-Frayling, N., Mladenic, D.: Feature selection using support vector machines. In: Proceedings of the 3rd International Conference on Data Mining Methods and Databases for Engineering, Finance, and Other Fields, Bologna, Italy (2002)

4. Cimiano, P., Pivk, A., Schmidt-Thieme, L., Staab, S.: Learning Taxonomic Relations from Heterogeneous Evidence. In: Proceedings of the Ontology Learning and Population Workshop, The 16th European Conference on Artificial Inteligence (ECAI), Valenci, Spain (2004)

5. Deerwester, S., Dumais, S., Furnas, G., Landuer, T., Harshman, R.: Indexing by Latent Semantic Analysis. Journal of the American Society of Information Science 41(6), 391–407 (1990)

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