Evolutionary conceptual clustering of semantically annotated resources

ICSC 2007 International Conference on Semantic Computing

Volumn , Issue , 2007, Pages 783-790

  Fanizzi, Nicola ^a   D'Amato, Claudia ^a   Esposito, Floriana ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; COMPUTER PROGRAMMING; FLOW OF SOLIDS; FUNCTION EVALUATION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INFORMATION THEORY; LINGUISTICS; MULTI AGENT SYSTEMS; ONTOLOGY; QUERY LANGUAGES; SEMANTICS; STANDARDS;

CLUSTERING METHODS; CONCEPT DESCRIPTIONS; CONCEPTUAL CLUSTERING; DISTANCE MEASURES; EVOLUTIONARY CLUSTERING; FEATURE CONSTRUCTION; FITNESS FUNCTIONS; INTERNATIONAL CONFERENCES; KNOWLEDGE BASES; MEDOIDS; RELATIONAL REPRESENTATIONS;

CLUSTERING ALGORITHMS;

EID: 47749148791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2007.92     Document Type: Conference Paper

References (18)

1. F. Baader, D. Calvanese, D. McGuinness, D. Nardi, and P. Patel-Schneider, editors. The Description Logic Handbook. Cambridge University Press, 2003.
2. J. Bezdek and N. Pal. Some new indexes of cluster validity. IEEE Transactions on Systems, Man, and Cybernetics, 28(3):301-315, 1998.
3. A. Borgida, T.Walsh, and H. Hirsh. Towards measuring similarity in description logics. In I. Horrocks, U. Sattler, and F. Wolter, editors, Working Notes of the International Description Logics Workshop, volume 147 of CEUR Workshop Proceedings, Edinburgh, UK, 2005.
4. C. d'Amato, N. Fanizzi, and F. Esposito. Reasoning by analogy in description logics through instance-based learning. In G. Tummarello, P. Bouquet, and O. Signore, editors, Proceedings of Semantic Web Applications and Perspectives, 3rd Italian Semantic Web Workshop, SWAP2006, volume 201 of CEUR Workshop Proceedings, Pisa, Italy, 2006.
5. N. Fanizzi, C. d'Amato, and F. Esposito. Induction of optimal semi-distances for individuals based on feature sets. In D. Calvanese, E. Franconi, V. Haarslev, D. Lembo, B. Motik, A.-Y. Turhan, and S. Tessaris, editors, Working Notes of the International Description Logics Workshop, DL2007, volume 250 of CEUR Workshop Proceedings, Bressanone, Italy, 2007.
6. N. Fanizzi, C. d'Amato, and F. Esposito. Instance-based retrieval by analogy. In Y. Cho, R. Wainwright, H. Haddad, S. Shin, and Y. W. Koo, editors, Proceedings of the 22nd Annual ACM Symposium of Applied Computing, SAC2007, pages 1398-1402, Seoul, Korea, 2007. ACM.
7. N. Fanizzi, L. Iannone, I. Palmisano, and G. Semeraro. Concept formation in expressive description logics. In J.-F. Boulicaut, F. Esposito, F. Giannotti, and D. Pedreschi, editors, Proceedings of the 15th European Conference on Machine Learning, ECML2004, volume 3201 of LNAI, pages 99-113. Springer, 2004.
8. S. Hirano and S. Tsumoto. An indiscernibility-based clustering method. In X. Hu, Q. Liu, A. Skowron, T. Y. Lin, R. Yager, and B. Zhang, editors, 2005 IEEE International Conference on Granular Computing, pages 468-473. IEEE, 2005.
9. L. Iannone, I. Palmisano, and N. Fanizzi. An algorithm based on counterfactuals for concept learning in the semantic web. Applied Intelligence, 26(2):139-159, 2007.
10. A. Jain, M. Murty, and P. Flynn. Data clustering: A review. ACM Computing Surveys, 31(3):264-323, 1999.
11. L. Kaufman and P. Rousseeuw. Finding Groups in Data: an Introduction to Cluster Analysis. John Wiley & Sons, 1990.
12. J.-U. Kietz and K. Morik. A polynomial approach to the constructive induction of structural knowledge. Machine Learning, 14(2):193-218, 1994.
13. J. Lehmann and P. Hitzler. A refinement operator based learning algorithm for the ALC description logic. In Proceedings of the 17th International Conference on Inductive Logic Programming, ILP2007, 2007.
14. R. Ng and J. Han. Efficient and effective clustering method for spatial data mining. In Proceedings of the 20th Conference on Very Large Databases, VLDB94, pages 144-155, 1994.
15. S.-H. Nienhuys-Cheng. Distances and limits on Herbrand interpretations. In D. Page, editor, Proceedings of the 8th International Workshop on Inductive Logic Programming, ILP98, volume 1446 of LNAI, pages 250-260. Springer, 1998.
16. Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, 1991.
17. M. Sebag. Distance induction in first order logic. In S. Džeroski and N. Lavrač, editors, Proceedings of the 7th International Workshop on Inductive Logic Programming, ILP97, volume 1297 of LNAI, pages 264-272. Springer, 1997.
18. R. E. Stepp and R. S. Michalski. Conceptual clustering of structured objects: A goal-oriented approach. Artificial Intelligence, 28(1):43-69, Feb. 1986.