Abstract
Significant research activities have recently been directed towards the Semantic Web as a potential future substitute of the current World Wide Web. Many experts predict that the next huge step forward in Web information technology will be achieved by adding semantics to Web data. An important role in research towards the Semantic Web is played by formalisms and technologies for handling uncertainty and/or vagueness. In this paper, I first provide some motivating examples for handling uncertainty and/or vagueness in the Semantic Web. I then give an overview of some own recent formalisms for handling uncertainty and/or vagueness in the Semantic Web.
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References
Berners-Lee, T.: Weaving the Web. Harper, San Francisco (1999)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Sci. Amer. 284(5), 34–43 (2001)
Fensel, D., Wahlster, W., Lieberman, H., Hendler, J. (eds.): Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential. MIT Press, Cambridge (2002)
Horrocks, I., Patel-Schneider, P.F., van Harmelen, F.: From \(\mathcal{SHIQ}\) and RDF to OWL: The making of a web ontology language. J. Web Sem. 1(1), 7–26 (2003)
W3C: OWL web ontology language overview. W3C Recommendation, February 10 (2004), http://www.w3.org/TR/2004/REC-owl-features-20040210/
Horrocks, I., Patel-Schneider, P.F.: Reducing OWL entailment to description logic satisfiability. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 17–29. Springer, Heidelberg (2003)
Eiter, T., Ianni, G., Lukasiewicz, T., Schindlauer, R., Tompits, H.: Combining answer set programming with description logics for the Semantic Web. Artif. Intell. 172(12/13), 1495–1539 (2008)
Eiter, T., Lukasiewicz, T., Schindlauer, R., Tompits, H.: Well-founded semantics for description logic programs in the Semantic Web. In: Antoniou, G., Boley, H. (eds.) RuleML 2004. LNCS, vol. 3323, pp. 81–97. Springer, Heidelberg (2004)
Lukasiewicz, T.: A novel combination of answer set programming with description logics for the Semantic Web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 384–398. Springer, Heidelberg (2007)
Lukasiewicz, T., Straccia, U.: Managing uncertainty and vagueness in description logics for the Semantic Web. J. Web Sem. 6(4), 291–308 (2008)
Lukasiewicz, T.: Expressive probabilistic description logics. Artif. Intell. 172(6/7), 852–883 (2008)
Udrea, O., Deng, Y., Hung, E., Subrahmanian, V.S.: Probabilistic ontologies and relational databases. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3760, pp. 1–17. Springer, Heidelberg (2005)
Hung, E., Deng, Y., Subrahmanian, V.S.: TOSS: An extension of TAX with ontologies and similarity queries. In: Proceedings ACM SIGMOD 2004, pp. 719–730. ACM Press, New York (2004)
Callan, J.: Distributed information retrieval. In: Croft, W.B. (ed.) Advances in Information Retrieval, pp. 127–150. Kluwer, Dordrecht (2000)
Fuhr, N.: A decision-theoretic approach to database selection in networked IR. ACM Trans. Inf. Syst. 3(17), 229–249 (1999)
Straccia, U., Troncy, R.: Towards distributed information retrieval in the Semantic Web. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 378–392. Springer, Heidelberg (2006)
Nottelmann, H., Straccia, U.: Information retrieval and machine learning for probabilistic schema matching. Inf. Process. Manage. 43(3), 552–576 (2007)
Giugno, R., Lukasiewicz, T.: P-\(\mathcal{SHOQ}({\bf D})\): A probabilistic extension of \(\mathcal{SHOQ}({\bf D})\) for probabilistic ontologies in the Semantic Web. In: Flesca, S., Greco, S., Leone, N., Ianni, G. (eds.) JELIA 2002. LNCS (LNAI), vol. 2424, pp. 86–97. Springer, Heidelberg (2002)
d’Amato, C., Fanizzi, N., Lukasiewicz, T.: Tractable reasoning with Bayesian description logics. In: Greco, S., Lukasiewicz, T. (eds.) SUM 2008. LNCS (LNAI), vol. 5291, pp. 146–159. Springer, Heidelberg (2008)
Lukasiewicz, T.: Probabilistic deduction with conditional constraints over basic events. J. Artif. Intell. Res. 10, 199–241 (1999)
Lukasiewicz, T.: Probabilistic logic programming under inheritance with overriding. In: Proceedings UAI 2001, pp. 329–336. Morgan Kaufmann, San Francisco (2001)
Lukasiewicz, T.: Probabilistic default reasoning with conditional constraints. Ann. Math. Artif. Intell. 34(1–3), 35–88 (2002)
Lehmann, D.: Another perspective on default reasoning. Ann. Math. Artif. Intell. 15(1), 61–82 (1995)
Lukasiewicz, T.: Probabilistic description logic programs. In: Godo, L. (ed.) ECSQARU 2005. LNCS (LNAI), vol. 3571, pp. 737–749. Springer, Heidelberg (2005)
Lukasiewicz, T.: Probabilistic description logic programs. Int. J. Approx. Reasoning 45(2), 288–307 (2007)
Lukasiewicz, T.: Tractable probabilistic description logic programs. In: Prade, H., Subrahmanian, V.S. (eds.) SUM 2007. LNCS (LNAI), vol. 4772, pp. 143–156. Springer, Heidelberg (2007)
Calì, A., Lukasiewicz, T.: An approach to probabilistic data integration for the Semantic Web. In: da Costa, P.C.G., d’Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2005 - 2007. LNCS (LNAI), vol. 5327, pp. 52–65. Springer, Heidelberg (2008)
Calì, A., Lukasiewicz, T.: Tightly integrated probabilistic description logic programs for the Semantic Web. In: Dahl, V., Niemelä, I. (eds.) ICLP 2007. LNCS, vol. 4670, pp. 428–429. Springer, Heidelberg (2007)
Calì, A., Lukasiewicz, T., Predoiu, L., Stuckenschmidt, H.: Tightly coupled probabilistic description logic programs for the Semantic Web. J. Data Sem. 12, 95–130 (2009)
Calì, A., Lukasiewicz, T., Predoiu, L., Stuckenschmidt, H.: Rule-based approaches for representing probabilistic ontology mappings. In: da Costa, P.C.G., d’Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2005 - 2007. LNCS (LNAI), vol. 5327, pp. 66–87. Springer, Heidelberg (2008)
Calì, A., Lukasiewicz, T., Predoiu, L., Stuckenschmidt, H.: Tightly integrated probabilistic description logic programs for representing ontology mappings. In: Hartmann, S., Kern-Isberner, G. (eds.) FoIKS 2008. LNCS, vol. 4932, pp. 178–198. Springer, Heidelberg (2008)
Lukasiewicz, T.: Probabilistic description logic programs under inheritance with overriding for the Semantic Web. Int. J. Approx. Reasoning 49(1), 18–34 (2008)
Lukasiewicz, T.: Fuzzy description logic programs under the answer set semantics for the Semantic Web. In: Proceedings RuleML 2006, pp. 89–96. IEEE Computer Society, Los Alamitos (2006)
Lukasiewicz, T.: Fuzzy description logic programs under the answer set semantics for the Semantic Web. Fundam. Inform. 82(3), 289–310 (2008)
Lukasiewicz, T., Straccia, U.: Tightly integrated fuzzy description logic programs under the answer set semantics for the Semantic Web. In: Marchiori, M., Pan, J.Z., de Marie, C.S. (eds.) RR 2007. LNCS, vol. 4524, pp. 289–298. Springer, Heidelberg (2007)
Lukasiewicz, T., Straccia, U.: Tightly coupled fuzzy description logic programs under the answer set semantics for the Semantic Web. Int. J. Semantic Web Inf. Syst. 4(3), 68–89 (2008)
Lukasiewicz, T., Straccia, U.: Description logic programs under probabilistic uncertainty and fuzzy vagueness. In: Mellouli, K. (ed.) ECSQARU 2007. LNCS (LNAI), vol. 4724, pp. 187–198. Springer, Heidelberg (2007)
Lukasiewicz, T., Straccia, U.: Description logic programs under probabilistic uncertainty and fuzzy vagueness. Int. J. Approx. Reasoning 50(6), 837–853 (2009)
Lukasiewicz, T., Straccia, U.: Top-k retrieval in description logic programs under vagueness for the Semantic Web. In: Prade, H., Subrahmanian, V.S. (eds.) SUM 2007. LNCS (LNAI), vol. 4772, pp. 16–30. Springer, Heidelberg (2007)
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Lukasiewicz, T. (2009). Uncertainty Reasoning for the Semantic Web. In: Polleres, A., Swift, T. (eds) Web Reasoning and Rule Systems. RR 2009. Lecture Notes in Computer Science, vol 5837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05082-4_3
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DOI: https://doi.org/10.1007/978-3-642-05082-4_3
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