Granular computing applied to ontologies

International Journal of Approximate Reasoning

Volumn 51, Issue 4, 2010, Pages 391-409

  Calegari, Silvia ^a   Ciucci, Davide ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Description logic; Granular computing; Granular information; Ontologies; Ontologies editor; Rough set theory

Indexed keywords

COMPUTING PARADIGM; DESCRIPTION LOGIC; GRANULAR INFORMATION; INFORMATION GRANULES; INFORMATION ONTOLOGIES; ONTOLOGICAL COMMITMENT; SEMANTIC KNOWLEDGE;

DATA DESCRIPTION; GRANULAR COMPUTING; GRANULATION; ONTOLOGY;

ROUGH SET THEORY;

EID: 76049105821     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2009.11.006     Document Type: Article

References (47)

1. In: Baader F., Calvanese D., McGuinness D.L., Nardi D., and Patel-Schneider P.F. (Eds). The Description Logic Handbook: Theory, Implementation, and Applications (2003), Cambridge University Press
2. Bianucci D., Cattaneo G., and Ciucci D. Entropies and co-entropies of coverings with application to incomplete information systems. Fundamenta Informaticae 75 (2007) 77-105
3. Bittner T., and Smith B. Granular spatio-temporal ontologies. Proceedings of the AAAI Spring Symposium on Foundations and Applications of Spatio-Temporal Reasoning (FASTR) (2003), AAAI Press, Menlo Park, CA 12-17
4. Bobillo F., Delgado M., Gómez-Romero J., and Straccia U. Fuzzy description logics under gödel semantics. International Journal of Approximation and Reasoning 50 3 (2009) 494-514
5. S. Calegari, D. Ciucci, An ontologies plug-in for granular operations, in: 4th International ISKE Conference on Intelligent Decision Making Systems, Proceedings Series on Computer Engineering and Information Science 2, World, 2009, pp. 70-75.
6. Doherty P., Grabowski M., Lukaszewicz W., and Szalas A. Towards a framework for approximate ontologies. Fundamenta Informaticae 57 (2003) 147-165
7. Faulstich-Brady A. A taxonomy of inheritance semantics. IWSSD '93: Proceedings of the 7th International Workshop on Software Specification and Design (1993), IEEE Computer Society Press 194-203
8. Gennari J.H., Musen M.A., Fergerson R.W., Grosso W.E., Crubzy M., Eriksson H., Noy N.F., and Tu S.W. The Evolution of Protégé: An Environment for Knowledge-Based Systems Development. International Journal of Human-Computer Studies 58 1 (2003) 89-123
9. Gruber T. A translation approach to portable ontology specifications. Knowledge Acquisition 5 (1993) 199-220
10. Grzymala-Busse J., and Grzymala-Busse W. Handling missing attribute values. In: Maimon O., and Rokach L. (Eds). The Data Mining and Knowledge Discovery Handbook (2005), Springer 37-57
11. Guarino N. Formal ontology and information systems. In: Guarino N. (Ed). Proceedings of the 1st International Conference on Formal Ontologies in Information Systems. FOIS'98 (1998), IOS Press 3-15
12. Guarino N., and Giaretta P. Ontologies and knowledge bases: towards a terminological clarification. In: Mars N. (Ed). Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing (1995), IOS Press, Amsterdam 25-32
13. M. Horridge, H. Knublauch, A. Rector, R. Stevens, C. Wroe, A practical guide to building OWL ontologies using the Protégé-OWL plugin and CO-ODE Tools, Tech. Rep. Edition 1.0, The University of Manchester, August 2004.
14. Horrocks I., and Patel-Schneider P. Reducing OWL entailment to description logic satisfiability. Journal of Web Semantics 1 (2004) 345-357
15. Horrocks I., Patel-Schneider P., and van Harmelen F. From SHIQ and RDF to OWL: the making of a web ontology language. Journal of Web Semantics 1 (2003) 7-26
16. Jiang Y., Wang J., Tang S., and Xiao B. Reasoning with rough description logic: an approximate concepts approach. Information Sciences 179 (2009) 600-612
17. C. Keet, A formal theory of granularity, Ph.D. Thesis, KRDB Research Centre, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy, 2008.
18. H. Knublauch, R. Fergerson, N. Noy, M. Musen, The protégé OWL plugin: an open development environment for semantic web applications, in: Third International Semantic Web Conference - ISWC 2004, 2004.
19. H. Knublauch, M. Musen, A. Rector, Editing description logics ontologies with the Protégé e OWL plugin, in: International Workshop on Description Logics, Whistler, BC, Canada, 2004.
20. V. Kreinovich, Interval computation as an important part of granular computing: an introduction, in: [32], 2008, pp. 3-31 (Chapter 1).
21. Lammari N., and Metais E. Building and maintaining ontologies: a set of algorithms. Data and Knowledge Engineering 48 (2004) 155-176
22. Latkowski R. Flexible indiscernibility relations for missing attribute values. Fundamenta Informaticae 67 (2005) 131-147
23. T. Lin, Granular computing: from rough sets and neighborhood systems to information granulation and computing in words, in: Proceedings of the European Congress on Intelligent Techniques and Soft Computing, 1997, pp. 1602-1606.
24. Y. Lin, Q. Liu, A logical method of formalization for granular computing, in: 2007 IEEE International Conference on Granular Computing, 2007, pp. 22-27.
25. P. Lingras, S. Asharaf, C. Butz, Rough clustering, in: [32], 2008, pp. 969-985 (Chapter 46).
26. Lukasiewicz T. Expressive probabilistic description logics. Artificial Intelligence 172 6-7 (2008) 852-883
27. Lukasiewicz T., and Straccia U. Managing uncertainty and vagueness in description logics for the semantic web. Journal of Web Semantics 6 4 (2008) 291-308
28. Mizoguchi R. Tutorial on ontological engineering: Part 3: Advanced course of ontological engineering. New Generation of Computers 22 2 (2004) 198-220
29. N. Noy, R. Fergerson, M. Musen, The knowledge model of Protege-2000: combining interoperability and flexibility, in: EKAW 2000, 2000, pp. 17-32.
30. Noy N.F., Sintek M., Decker S., Crubézy M., Fergerson R.W., and Musen M.A. Creating semantic web contents with Protégé-2000. IEEE Intelligent Systems 16 2 (2001) 60-71
31. Pawlak Z. Information systems - theoretical foundations. Information Systems 6 (1981) 205-218
32. In: Pedrycz W., Skowron A., and Kreinovich V. (Eds). Handbook of Granular Computing (2008), John Wiley & Sons, Chichester, England
33. H. Poincaré, Le continu mathématique, Revue de Métaphysique et de Morale I, 1893, pp. 26-34 (Reprinted in [34] as Chapter II).
34. H. Poincaré, La Science et l'Hypothèse, Flammarion, Paris, 1903 (English translation as Science and Hypothesis, Dover, New York, 1952).
35. L. Polkowski, Granulation of knowledge in decision systems: the approach based on rough inclusions. The method and its applications, in: RSEIPS07 Proceedings, LNAI, vol. 4585, 2007, pp. 69-79.
36. L. Polkowski, Rough mereology in analysis of vagueness, in: RSKT08 Proceedings, LNAI, vol. 5009, 2008, pp. 187-204.
37. Polkowski L., and Skowron A. Rough mereological calculi of granules: a rough set approach to computation. Computational Intelligence 17 (2001) 472-492
38. T. Qiu, X. Chen, Q. Liu, H. Hang, A granular space model for ontology learning, in: 2007 IEEE International Conference on Granular Computing, 2007, pp. 61-65.
39. Reformat M., and Ly C. Ontological approach to development of computing with words based systems. International Journal of Approximation and Reasoning 50 1 (2009) 72-91
40. S. Roychowdhury, Encoding and decoding fuzzy granules, in: [32], 2008, pp. 171-186 (Chapter 8).
41. Skowron A., and Stepaniuk J. Tolerance approximation spaces. Fundamenta Informaticae 27 (1996) 245-253
42. V.W. Soo, C.Y. Lin, Ontology-based information retrieval in a multi-agent system for digital library, in: 6th Conference on Artificial Intelligence and Applications, 2001, pp. 241-246.
43. Stefanowski J., and Tsoukias A. Incomplete information tables and rough classification. Computational Intelligence 17 (2001) 545-566
44. V. Tamma, An ontology model supporting multiple ontologies for knowledge sharing, Ph.D. Thesis, University of Liverpool, 2001.
45. Y. Yao, Structured writing with granular computing strategies, in: 2007 IEEE International Conference on Granular Computing, 2007, pp. 72-77.
46. Y. Yao, Granular computing: past, present and future, in: 2008 IEEE International Conference on Granular Computing, 2008.
47. Zadeh L. Is there a need for fuzzy logic?. Information Sciences 178 (2008) 2751-2779