Abstract
One of the most prominent features that the Semantic Web promises to enable is the discovery of new and implied knowledge from existing information that is scattered over the Internet. However, adding reasoning capabilities to the existing Web infrastructure is by no means a trivial task. Current methods and / or implementations do not seem to be declarative and expressive enough to provide the kind of reasoning support that the Semantic Web users will benefit from. In this paper we propose a methodology based on which, the user can construct and pose intelligent queries to Semantic Web documents in an intuitive manner, without prior knowledge of the document’s contents or structure. This methodology is implemented through a knowledge discovery prototype interface that relies on an existing inference engine found suitable for this task.
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References
H. Alani, S. Kim, D.E. Millard, M.J. Weal, W. Hall, P.H. Lewis and N.R. Shadbolt. Automated Ontology-Based Knowledge Extraction from Web Documents. IEEE Intelligent Systems, 18(1): 14–21, 2003.
Bechhofer, F. van Harmelen, J. Hendler, I. Horrocks, D.L. McGuinness, P.F. Patel-Schneider and L.A. Stein. OWL Web Ontology Language Reference. W3C Recommendation, 2004. http://www.w3.org/TR/owl-ref/
N. Crofts, M. Doerr and T. Gill. The CIDOC Conceptual Reference Model: A standard for communicating cultural contents. Cultivate Interactive, issue 9, 2003. http://www.cultivate-int.org/issue9/chios/
M. Doerr. The CIDOC conceptual reference module: an ontological approach to semantic interoperability of metadata. AI Magazine, 24(3): 75–92, 2003.
R. Fikes, P. Hayes and I. Horrocks. DQL – A Query Language for the Semantic Web. KSL Technical Report 02–05, 2002.
R. Fikes, P. Hayes and I. Horrocks. OWL-QL: A Language for Deductive Query Answering on the Semantic Web. KSL Technical Report 03–14, 2003.
R. Fikes, J. Jenkins, and F. Gleb. JTP: A System Architecture and Component Library for Hybrid Reasoning. In Proc. of the Seventh World Multiconference on Systemics, Cybernetics, and Informatics, 2003.
J. González-Castillo, D. Trastour and C. Bartolini. Description Logics for Matchmaking of Services, In Proc. of KI-2001 Workshop on Applications of Description Logics, 2001.
R. Guha, R. McCool. TAP: A Semantic Web Platform. Computer Networks, 42(5):557–577, 2003.
V. Haarslev and R. Möller. Racer: A Core Inference Engine for the Semantic Web. In Proc. of the 2nd International Workshop on Evaluation of Ontologybased Tools (EON2003), pp. 27–36, 2003.
V. Haarslev and R. Möller. RACER User's Guide and Reference Manual Version 1.7.19. http://www.sts.tu-harburg.de/~r.f.moeller/racer/racer-manual-1- 7-19.pdf
I. Horrocks and P.F. Patel-Schneider. Reducing OWL entailment to description logic satisfiability. In D. Fensel, K. Sycara, and J. Mylopoulos (eds.): Proc. of the 2003 International Semantic Web Conference (ISWC 2003), number 2870 of LNCS, pp. 17–29. Springer, 2003.
I. Horrocks and U. Sattler. Optimised reasoning for SHIQ. In Proc. of the 15th Eur. Conf. on Artificial Intelligence (ECAI 2002), pp. 277–281, 2002.
I. Horrocks and S. Tessaris. Querying the Semantic Web: a Formal Approach. In I. Horrocks and J. Hendler (eds.): Proc. of the 13th Int. Semantic Web Conf. (ISWC 2002), number 2342 in LNCS, pp. 177–191. Springer, 2002.
E. Hsu and D. McGuinness. Wine Agent: Semantic Web Testbed Application. In Proc. Of Workshop on Description Logics, 2003.
J. Kopena and W.C. Regli. DAMLJessKB: A tool for reasoning with the Semantic Web. IEEE Intelligent Systems, 18(3): 74–77, 2003.
L. Li and I. Horrocks. A software framework for matchmaking based on semantic web technology. In Proc. of the Twelfth International World Wide Web Conference (WWW 2003), pp. 331–339. ACM, 2003.
J. Mayfield and T. Finin. Information retrieval on the Semantic Web: Integrating inference and retrieval. In Proc. of SIGIRWorkshop on the Semantic Web, 2003.
Network Inference Ltd. Description Logics (white paper), http://www.networkinference. com
M. Paolucci, T. Kawamura, T.R. Payne and K. Sycara. Semantic Matching of WebServices Capabilities. In Proc. of International Semantic Web Conference (ISWC), 2002.
D. Tsarkov and I. Horrocks, Reasoner Prototype: Implementing new reasoner with datatype support. IST-2001-33052 Wonder Web Del. 13, http://wonderweb. semanticweb.org
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Koutsomitropoulos, D.A., Fragakis, M.F., Papatheodorou, T.S. (2006). A Methodology for Conducting Knowledge Discovery on the Semantic Web. In: Sirmakessis, S. (eds) Adaptive and Personalized Semantic Web. Studies in Computational Intelligence, vol 14. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-33279-0_8
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DOI: https://doi.org/10.1007/3-540-33279-0_8
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