Abstract
OntoClean is a unique approach towards the formal evaluation of ontologies, as it analyses the intensional content of concepts. Although it is well documented in numerous publications, and its importance is widely acknowledged, it is still used rather infrequently due to the high costs for applying OntoClean, especially on tagging concepts with the correct meta-properties. In order to facilitate the use of OntoClean and to enable proper evaluation of it in real-world cases, we provide AEON , a tool which automatically tags concepts with appropriate OntoClean meta-properties. The implementation can be easily expanded to check the concepts for other abstract meta-properties, thus providing for the first time tool support in order to enable intensional ontology evaluation for concepts. Our main idea is using the web as an embodiment of objective world knowledge, where we search for patterns indicating concepts meta-properties. We get an automatic tagging of the ontology, thus reducing costs tremendously. Moreover, AEON lowers the risk of having subjective taggings. As part of the evaluation we report our experiences from creating a middle-sized OntoClean-tagged reference ontology.
Chapter PDF
Similar content being viewed by others
Keywords
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.
References
Arpírez, J.C., et al.: WebODE: a scalable workbench for ontological engineering. In: Proc. of Int. Conf. on Knowledge Capture (K-CAP), Victoria, Canada (2001)
Charniak, E., Berland, M.: Finding parts in very large corpora. In: Proc. of the 37th Annual Meeting of the ACL, pp. 57–64 (1999)
Cimiano, P., Handschuh, S., Staab, S.: Towards the self-annotating web. In: Proceedings of the 13th World Wide Web Conference, pp. 462–471 (2004)
Cimiano, P., Ladwig, G., Staab, S.: Gimme’ the context: Context-driven automatic semantic annotation with c-pankow. In: Proc. 14th WWW. ACM, New York (2005)
Etzioni, O., et al.: Web-scale information extraction in KnowItAll (preliminary results). In: Proc. 13th WWW Conf., pp. 100–109 (2004)
Fernández-López, M., et al.: Building a chemical ontology using Methontology and the Ontology Design Environment. IEEE Int. Systems 14(1) (January/February 1999)
Fernández-López, M., Gómez-Pérez, A.: The integration of ontoclean in webode. In: Proc. of the EON 2002 Workshop at 13th EKAW (2002)
Gangemi, A., et al.: Sweetening WordNet with Dolce. AI Magazine (Fall 2003)
Grefenstette, G.: The WWW as a resource for example-based MT tasks. In: Proc. of ASLIB 1999 Translating and the Computer, vol. 21 (1999)
Guarino, N., Welty, C.A.: A formal ontology of properties. In: Knowledge Acquisition, Modeling and Management, pp. 97–112 (2000)
Guarino, N., Welty, C.A.: An overview of OntoClean. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies in Inf. Sys., pp. 151–172. Springer, Heidelberg (2004)
Hahn, U., Schnattinger, K.: Towards text knowledge engineering. In: Proc. of AAAI 1998/IAAI 1998 (1998)
Hearst, M.: Automatic acquisition of hyponyms from large text corpora. In: Proc. 14th Int. Conf. on Computational Linguistics, pp. 539–545 (1992)
Keller, F., Lapata, M., Ourioupina, O.: Using the web to overcome data sparseness. In: Proc. of EMNLP 2002, pp. 230–237 (2002)
Noy, N., Fergerson, R., Musen, M.: The knowledge model of Protégé-2000: Combining interoperability and flexibility. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 17–32. Springer, Heidelberg (2000)
Resnik, P., Smith, N.A.: The Web as a parallel corpus. Computational Linguistics 29(3), 349–380 (2003)
Sure, Y., Angele, J., Staab, S.: OntoEdit: Multifaceted inferencing for ontology engineering. In: Spaccapietra, S., March, S., Aberer, K. (eds.) Journal on Data Semantics I. LNCS, vol. 2800, pp. 128–152. Springer, Heidelberg (2003)
Sure, Y., Staab, S., Studer, R.: Methodology for development and employment of ontology based knowledge management applications. SIGMOD Rec. 31(4) (2002)
Tempich, C., et al.: An argumentation ontology for distributed, loosely-controlled and evolving engineering processes of ontologies (DILIGENT). In: Bussler, C., et al. (eds.) ESWC 2005. LNCS, vol. 3532. Springer, Heidelberg (2005)
Welty, C., Mahindru, R., Chu-Carroll, J.: Evaluating ontology cleaning. In: McGuinness, D., Ferguson, G. (eds.) AAAI 2004. AAAI / MIT Press (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Völker, J., Vrandečić, D., Sure, Y. (2005). Automatic Evaluation of Ontologies (AEON). In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds) The Semantic Web – ISWC 2005. ISWC 2005. Lecture Notes in Computer Science, vol 3729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11574620_51
Download citation
DOI: https://doi.org/10.1007/11574620_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29754-3
Online ISBN: 978-3-540-32082-1
eBook Packages: Computer ScienceComputer Science (R0)