Description logic programs under probabilistic uncertainty and fuzzy vagueness

International Journal of Approximate Reasoning

Volumn 50, Issue 6, 2009, Pages 837-853

  Lukasiewicz, Thomas ^a   Straccia, Umberto ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b ISTI CNR   (Italy)

Author keywords

Algorithms; Data tractability; Fuzzy description logics; Fuzzy logic programs; Fuzzy vagueness; Probabilistic logic programs; Probabilistic uncertainty; Semantic Web

Indexed keywords

DATA TRACTABILITY; FUZZY DESCRIPTION LOGICS; FUZZY LOGIC PROGRAMS; FUZZY VAGUENESS; PROBABILISTIC LOGIC PROGRAMS; PROBABILISTIC UNCERTAINTY;

DATA DESCRIPTION; FUZZY SETS; INFORMATION THEORY; LOGIC PROGRAMMING; POLYNOMIAL APPROXIMATION; PROBABILISTIC LOGICS; QUERY PROCESSING; SEMANTIC WEB; SEMANTICS;

FUZZY LOGIC;

EID: 67349206436     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2009.03.004     Document Type: Article

References (31)

1. Berners-Lee T. Weaving the Web (1999), Harper, San Francisco
2. Calì A., and Lukasiewicz T. Tightly integrated probabilistic description logic programs for the Semantic Web. Proceedings ICLP-2007. LNCS vol. 4670 (2007), Springer 428-429
3. Calì A., Lukasiewicz T., Predoiu L., and Stuckenschmidt H. Tightly integrated probabilistic description logic programs for representing ontology mappings. Proceedings FoIKS-2008. LNCS vol. 4932 (2008), Springer 178-198
4. Callan J. Distributed information retrieval. In: Croft W.B. (Ed). Advances in Information Retrieval (2000), Kluwer 127-150
5. Callan J., and Connell M. Query-based sampling of text databases. ACM Trans. Inform. Syst. 19 2 (2001) 97-130
6. Eiter T., Lukasiewicz T., Schindlauer R., and Tompits H. Combining answer set programming with description logics for the Semantic Web. Proceedings KR-2004 (2004), AAAI Press 141-151 (Extended version: Artif. Intell. 172 (12/13) (2008) 1495-1539).
7. Euzenat J., and Shvaiko P. Ontology Matching (2007), Springer
8. In: Fensel D., Wahlster W., Lieberman H., and Hendler J. (Eds). Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential (2002), MIT Press
9. Flaminio T., and Godo L. A logic for reasoning about the probability of fuzzy events. Fuzzy Sets Syst. 158 6 (2007) 625-638
10. Fenza G., Loia V., and Senatore S. A hybrid approach to Semantic Web services matchmaking. Int. J. Approx. Reason. 48 3 (2008) 808-828
11. Fuhr N. A decision-theoretic approach to database selection in networked IR. ACM Trans. Inform. Syst. 3 17 (1999) 229-249
12. Hájek P. Metamathematics of Fuzzy Logic (1998), Kluwer
13. Horrocks I., and Patel-Schneider P.F. Reducing OWL entailment to description logic satisfiability. Proceedings ISWC-2003. LNCS vol. 2870 (2003), Springer 17-29
14. Lukasiewicz T. Fuzzy description logic programs under the answer set semantics for the Semantic Web. Proceedings RuleML-2006 (2006), IEEE Computer Society 89-96 (Extended version: Fundam. Inform. 82 (3) (2008) 289-310)
15. Lukasiewicz T. Probabilistic description logic programs. Int. J. Approx. Reason. 45 2 (2007) 288-307
16. Lukasiewicz T. Probabilistic description logic programs under inheritance with overriding for the Semantic Web. Int. J. Approx. Reason. 49 1 (2008) 18-34
17. Lukasiewicz T. Tractable probabilistic description logic programs. Proceedings SUM-2007. LNCS vol. 4772 (2007), Springer 143-156
18. Lukasiewicz T., and Straccia U. Tightly integrated fuzzy description logic programs under the answer set semantics for the Semantic Web. Proceedings RR-2007. LNCS vol. 4524 (2007), Springer 289-298
19. Lukasiewicz T., and Straccia U. Top-k retrieval in description logic programs under vagueness for the Semantic Web. Proceedings SUM-2007. LNCS vol. 4772 (2007), Springer 16-30
20. Lukasiewicz T., and Straccia U. Managing uncertainty and vagueness in description logics for the Semantic Web. J. Web Sem. (2008)
21. Nottelmann H., and Straccia U. Information retrieval and machine learning for probabilistic schema matching. Inform. Process. Manage. 43 3 (2007) 552-576
22. Poole D. The independent choice logic for modelling multiple agents under uncertainty. Artif. Intell. 94 1/2 (1997) 7-56
23. L. Predoiu, H. Stuckenschmidt, A probabilistic framework for information integration and retrieval on the Semantic Web, in: Proceedings InterDB-2007 Workshop on Database Interoperability, 2007.
24. Renda M.E., and Straccia U. Web metasearch: rank vs. score-based rank aggregation methods. Proceedings SAC (2003), ACM Press 841-846
25. U. Straccia, Answering vague queries in fuzzy DL-Lite, in: Proceedings IPMU-2006, 2006, pp. 2238-2245.
26. Straccia U. A fuzzy description logic for the Semantic Web. In: Sanchez E. (Ed). Fuzzy Logic and the Semantic Web. Capturing Intelligence (2006), Elsevier 73-90 (Chapter 4)
27. U. Straccia, Fuzzy description logic programs, in: Proceedings IPMU-2006, 2006, pp. 1818-1825.
28. Straccia U., and Troncy R. oMAP: Combining classifiers for aligning automatically OWL ontologies. Proceedings WISE-2005. LNCS vol. 3806 (2005), Springer 133-147
29. Straccia U., and Troncy R. Towards distributed information retrieval in the Semantic Web. Proceedings ESWC-2006. LNCS vol. 4011 (2006), Springer 378-392
30. Straccia U. Managing uncertainty and vagueness in description logics, logic programs and description logic programs. Reasoning Web, 4th International Summer School, Tutorial Lectures. LNCS vol. 5224 (2008), Springer 54-103
31. W3C. OWL Web ontology language overview, 2004. W3C Recommendation (10 February 2004). Available at .