Abstract
An ontology is a machine-processable representation of knowledge about a domain of interest.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
This is an abridged version of [14].
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
The size of the intersection divided by the size of the union.
- 9.
References
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, Cambridge (2003)
Baader, F., Ganter, B., Sertkaya, B., Sattler, U.: Completing description logic knowledge bases using formal concept analysis. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence, IJCAI 2007, pp. 230–235. Morgan Kaufmann Publishers Inc., San Francisco (2007)
Baader, F., Sertkaya, B., Turhan, A.Y.: Computing the least common subsumer w.r.t. a background terminology. J. Appl. Logic 5(3), 392–420 (2007)
Conklin, D., Witten, I.H.: Complexity-based induction. Mach. Learn. 16(3), 203–225 (1994)
Fanizzi, N., d’Amato, C., Esposito, F.: DL-FOIL Concept Learning in Description Logics. In: Železný, F., Lavrač, N. (eds.) ILP 2008. LNCS (LNAI), vol. 5194, pp. 107–121. Springer, Heidelberg (2008)
Ganter, B., Wille, R.: Formal Concept Analysis, vol. 284. Springer, Berlin (1999)
Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: Modular reuse of ontologies: theory and practice. J. Artif. Intell. Res. 31, 273–318 (2008)
Grau, B.C., Horrocks, I., Motik, B., Parsia, B., Patel-Schneider, P., Sattler, U.: OWL 2: the next step for OWL. Web Semant. 6(4), 309–322 (2008)
Haase, P., Stojanovic, L.: Consistent evolution of OWL ontologies. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 182–197. Springer, Heidelberg (2005)
Lehmann, J., Auer, S., Bühmann, L., Tramp, S.: Class expression learning for ontology engineering. Web Semant. 9(1), 71–81 (2011)
Lehmann, J., Hitzler, P.: Concept learning in description logics using refinement operators. Mach. Learn. 78(1–2), 203–250 (2010)
Lehmann, J., Völker, J. (eds.): Perspectives On Ontology Learning, Studies in the Semantic Web, vol. 18. IOS Press, Amsterdam (2014)
Muggleton, S.: Inductive logic programming. New Gener. Comput. 8(4), 295–318 (1991)
Sazonau, V., Sattler, U., Brown, G.: General terminology induction in OWL. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9366, pp. 533–550. Springer, Heidelberg (2015)
Tsarkov, D., Horrocks, I.: FACT++ description logic reasoner: system description. In: Furbach, U., Shankar, N. (eds.) IJCAR 2006. LNCS (LNAI), vol. 4130, pp. 292–297. Springer, Heidelberg (2006)
Vitányi, P.M., Li, M.: Minimum description length induction, bayesianism, and kolmogorov complexity. IEEE Trans. Inf. Theor. 46(2), 446–464 (2000)
Völker, J., Niepert, M.: Statistical Schema Induction. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 124–138. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Sazonau, V., Sattler, U., Brown, G. (2016). General Terminology Induction in OWL. In: Tamma, V., Dragoni, M., Gonçalves, R., Ławrynowicz, A. (eds) Ontology Engineering. OWLED 2015. Lecture Notes in Computer Science(), vol 9557. Springer, Cham. https://doi.org/10.1007/978-3-319-33245-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-33245-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-33244-4
Online ISBN: 978-3-319-33245-1
eBook Packages: Computer ScienceComputer Science (R0)