Abstract
In this paper we present a methodology based on interoperability for building Semantic Web Mining systems. In particular we consider the still poorly investigated case of mining the Semantic Web layers of ontologies and rules. We argue that Inductive Logic Programming systems could serve the purpose if they were more compliant with the standards of representation for ontologies and rules in the Semantic Web and/or interoperable with well-established Ontological Engineering tools that support these standards.
This is a preview of subscription content, log in via an institution to check access.
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
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)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (May 2001)
Donini, F.M., Lenzerini, M., Nardi, D., Schaerf, A.: AL-log: Integrating Datalog and Description Logics. Journal of Intelligent Information Systems 10(3), 227–252 (1998)
Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering. Springer, Heidelberg (2004)
Haarslev, V., Möller, R.: Description of the RACER System and its Applications. In: Goble, C.A., McGuinness, D.L., Möller, R., Patel-Schneider, P.F. (eds.) Working Notes of the 2001 International Description Logics Workshop (DL-2001). CEUR Workshop Proceedings, vol. 49 (2001)
Horrocks, I., Patel-Schneider, P.F., van Harmelen, F.: From SHIQ and RDF to OWL: The making of a web ontology language. Journal of Web Semantics 1(1), 7–26 (2003)
Hustadt, U., Motik, B., Sattler, U.: Reducing SHIQ-description logic to disjunctive datalog programs. In: Dubois, D., Welty, C.A., Williams, M.-A. (eds.) Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR 2004), pp. 152–162. AAAI Press, Menlo Park (2004)
Kietz, J.-U.: Learnability of description logic programs. In: Matwin, S., Sammut, C. (eds.) ILP 2002. LNCS (LNAI), vol. 2583, pp. 117–132. Springer, Heidelberg (2003)
Kosala, R., Blockeel, H.: Web Mining Research: A Survey. In: SIGKDD: SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, ACM, 2 (2000)
Levy, A.Y., Rousset, M.-C.: Combining Horn rules and description logics in CARIN. Artificial Intelligence 104, 165–209 (1998)
Lisi, F.A., Esposito, F.: Mining the Semantic Web: A Logic-Based Methodology. In: Hacid, M.-S., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds.) ISMIS 2005. LNCS (LNAI), vol. 3488, pp. 102–111. Springer, Heidelberg (2005)
Mannila, H., Toivonen, H.: Levelwise search and borders of theories in knowledge discovery. Data Mining and Knowledge Discovery 1(3), 241–258 (1997)
Nienhuys-Cheng, S.-H., de Wolf, R.: Foundations of Inductive Logic Programming. LNCS, vol. 1228. Springer, Heidelberg (1997)
Fridman Noy, N., Fergerson, R.W., Musen, M.A.: 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)
Semeraro, G., Esposito, F., Malerba, D., Fanizzi, N., Ferilli, S.: A logic framework for the incremental inductive synthesis of Datalog theories. In: Fuchs, N.E. (ed.) LOPSTR 1997. LNCS, vol. 1463, pp. 300–321. Springer, Heidelberg (1998)
Stumme, G., Hotho, A., Berendt, B.: Semantic Web Mining: State of the art and future directions. Journal of Web Semantics 4(2), 124–143 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lisi, F.A. (2006). A Methodology for Building Semantic Web Mining Systems. In: Esposito, F., Raś, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_35
Download citation
DOI: https://doi.org/10.1007/11875604_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45764-0
Online ISBN: 978-3-540-45766-4
eBook Packages: Computer ScienceComputer Science (R0)