Abstract
In this paper we present the Semantic Turkey Ontology Learner (ST-OL), an incremental ontology learning system, that follows two main ideas: (1) putting final users in the learning loop; (2) using a probabilistic ontology learning model that exploits transitive relations for inducing better extraction models.
Keywords
- Semantic Relation
- Incremental Learning
- Computational Linguistics
- Ontology Development
- Knowledge Repository
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Miller, G.A.: WordNet: A lexical database for English. Communications of the ACM 38(11), 39–41 (1995)
Toumouth, A., Lehireche, A., Widdows, D., Malki, M.: Adapting wordnet to the medical domain using lexicosyntactic patterns in the ohsumed corpus. In: AICCSA 2006: Proceedings of the IEEE International Conference on Computer Systems and Applications, pp. 1029–1036. IEEE Computer Society, Los Alamitos (2006)
Medche, A.: Ontology Learning for the Semantic Web. Engineering and Computer Science, vol. 665. Kluwer International, Dordrecht (2002)
Cimiano, P., Hotho, A., Staab, S.: Learning concept hierarchies from text corpora using formal concept analysis. Journal of Artificial Intelligence research 24, 305–339 (2005)
Navigli, R., Velardi, P.: Learning domain ontologies from document warehouses and dedicated web sites. Comput. Linguist. 30(2), 151–179 (2004)
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 15th International Conference on Computational Linguistics (CoLing 1992), Nantes, France (1992)
Pantel, P., Pennacchiotti, M.: Espresso: Leveraging generic patterns for automatically harvesting semantic relations. In: Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Sydney, Australia. Association for Computational Linguistics, pp. 113–120 (July 2006)
Harris, Z.: Distributional structure. In: Katz, J.J., Fodor, J.A. (eds.) The Philosophy of Linguistics, Oxford University Press, Oxford (1964)
Robison, H.R.: Computer-detectable semantic structures. Information Storage and Retrieval 6(3), 273–288 (1970)
Pekar, V., Staab, S.: Taxonomy learning: factoring the structure of a taxonomy into a semantic classification decision. In: Proceedings of the Nineteenth Conference on Computational Linguistics, vol. 2, pp. 786–792 (2002)
Snow, R., Jurafsky, D., Ng, A.Y.: Semantic taxonomy induction from heterogenous evidence. ACL, 801–808 (2006)
Fallucchi, F., Zanzotto, F.M.: SVD feature selection for probabilistic taxonomy learning. In: Proceedings of the Workshop on Geometrical Models of Natural Language Semantics, Athens, Greece. Association for Computational Linguistics, pp. 66–73 ((March 2009)
Cimiano, P., Vlker, J.: Text2onto - a framework for ontology learning and datadriven change discovery. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 227–238. Springer, Heidelberg (2005)
Maedche, A., Volz, R.: Icdm workshop on integrating data mining and knowledge management. In: The Text-To-Onto Ontology Extraction and Maintenance Environment, San Jose, California, USA (2001)
Buitelaar, P., Olejnik, D., Sintek, M.: A protégé plug-in for ontology extraction from text based on linguistic analysis. In: Bussler, C.J., et al. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 31–44. Springer, Heidelberg (2004)
Gennari, J., Musen, M., Fergerson, R., Grosso, W., Crubzy, M., Eriksson, H.: The evolution of Prot´eg´e-2000: An environment for knowledge-based systems development. International Journal of Human-Computer Studies 58(1), 89123 (2003)
Gómez-Pérez, A., Manzano-Macho, D.: Deliverable 1.5: A survey of ontology learning methods and techniques. Technical report (May 2003)
Haase, P., Lewen, H., Studer, R., Tran, D.T., Erdmann, M., d’Aquin, M., Motta, E.: The neon ontology engineering toolkit. In. In: WWW 2008 Developers Track (April 2008)
Bagni, D., Cappella, M., Pazienza, M.T., Pennacchiotti, M., Stellato, A.: Harvesting relational and structured knowledge for ontology building in the wPro architecture. In: Basili, R., Pazienza, M.T. (eds.) AI*IA 2007. LNCS (LNAI), vol. 4733, pp. 157–169. Springer, Heidelberg (2007)
Griesi, D., Pazienza, M.T., Stellato, A.: Semantic turkey - a semantic bookmarking tool (system description). In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 779–788. Springer, Heidelberg (2007)
Griesi, D., Pazienza, M.T., Stellato, A.: Gobbleing over the web with semantic turkey. In: Semantic Web Applications and Perspectives, 3rd Italian Semantic Web Workshop (SWAP2006), Scuola Normale Superiore, Pisa, Italy, December 18-20 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fallucchi, F., Scarpato, N., Stellato, A., Zanzotto, F.M. (2009). Probabilistic Ontology Learner in Semantic Turkey. In: Serra, R., Cucchiara, R. (eds) AI*IA 2009: Emergent Perspectives in Artificial Intelligence. AI*IA 2009. Lecture Notes in Computer Science(), vol 5883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10291-2_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-10291-2_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10290-5
Online ISBN: 978-3-642-10291-2
eBook Packages: Computer ScienceComputer Science (R0)