Multimedia interpretation for dynamic ontology evolution

Journal of Logic and Computation

Volumn 19, Issue 5, 2009, Pages 859-897

  Castano, Silvana ^a   Peraldi, Irma Sofia Espinosa ^b   Ferrara, Alfio ^a   Karkaletsis, Vangelis ^c   Kaya, Atila ^b   Mller, Ralf ^b   Montanelli, Stefano ^a   Petasis, Georgios ^c   Wessel, Michael ^b  

^a UNIVERSITY OF MILAN   (Italy)

^b HAMBURG UNIVERSITY OF TECHNOLOGY   (Germany)

^c INSTITUTE OF INFORMATICS AND TELECOMMUNICATIONS   (Greece)

Author keywords

Description logics; Multimedia Interpretation; Multimedia ontologies; Ontology dynamics; Ontology evolution; OWL

Indexed keywords

DESCRIPTION LOGICS; MULTIMEDIA INTERPRETATION; MULTIMEDIA ONTOLOGIES; ONTOLOGY EVOLUTION; OWL;

DATA DESCRIPTION; MULTIMEDIA SYSTEMS;

ONTOLOGY;

EID: 70349508953     PISSN: 0955792X     EISSN: 1465363X     Source Type: Journal    
DOI: 10.1093/logcom/exn049     Document Type: Conference Paper

References (37)

1. H. Alani, S. Kim, D. Millard, M.Weal,W. Hall, P. Lewis, and N. Shadbolt. Automatic ontologybased knowledge extraction from web documents. IEEE Intelligent Systems, 18, 14-21, 2003.
2. A.Aliseda-Llera. Seeking Explanations: Abduction in Logic, Philosophy of Science and Artifical Intelligence. Stanford University, Stanford, CA, USA, 1998.
3. R.Ananthakrishna, S. Chaudhuri, andV. Ganti. Eliminating fuzzy duplicates in data warehouses. In Proceedings of the 28th International Conference on Very Large Databases (VLDB 2002). 2002.
4. F. Baader, D. Calvanese, D. McGuinness, D. Nardi, and P. F. Patel-Schneider, eds. The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, 2003.
5. F. Baader and W. Nutt. Basic description logics. In The Description Logic Handbook: Theory, Implementation and Applications, F. Baader, D. Calvanese, D. McGuinness, D. Nardi, and P. F. Patel-Schneider, eds. pp. 43-95, Cambridge University Press, 2003.
6. P. Bertolazzi, L. DeSantis, and M. Scannapieco. Automatic record matching in cooperative information systems. In International Workshop on Data Quality in Cooperative Information Systems. pp. 13-20, Siena, Italy, 2003.
7. M. Bilenko, R. Mooney,W. Cohen, P. Ravikumar and S. Fienberg. Adaptive name matching in information integration. IEEE Intelligent Systems, 18, 16-23, 2003.
8. S. Bruno, S. Castano, A. Ferrara, D. Lorusso, G. Messa, and S. Montanelli. Ontology coordination tools: Version 2. Technical Report D4.7, BOEMIE Project, FP6-027538, 6th EU Framework Programme, 2007.
9. P. Buitelaar, P. Cimiano, S. Racioppa, and M. Siegel. Ontology-based information extraction with soba. In Proceedings of the International Conference on Language Resources and Evaluation, pp. 2321-2324, Magazzini del Cotone Conference Center, Genoa - Italy, 2006.
10. M. J. Carey and D. A. Schneider, eds. The merge/purge problem for large databases. In Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, pp. 127-138. ACM Press, San Jose, California, 1995.
11. S. Castano, A. Ferrara, and G. Messa. ISLab HMatch results for OAEI 2006. In Proceedings of ISWC InternationalWorkshop on Ontology Matching, P. Shvaiko et al. (eds), Athens, Georgia, USA, 2006.
12. S. Castano, A. Ferrara, and S. Montanelli. Matching ontologies in open networked systems: techniques and applications. Journal on Data Semantics (JoDS), V, 25-63, 2006.
13. C. E. H. Chua, R. H. L. Chiang, and E. P. Lim. Instance-based attribute identification in database integration. The VLDB Journal, 12, 228-243, 2003.
14. Y. Ding and S. Foo. Ontology research and development. Part 2 - a review of ontology mapping and evolving. Journal of Information Science, 28, 375-388, 2002. (Pubitemid 35263156)
15. C. Elsenbroich, O. Kutz, and U. Sattler. A case for abductive reasoning over ontologies. In Proceedings of OWL: Experiences and Directions, Athens, Georgia, USA, November 10-11. 2006.
16. D. Engmann and S. Massmann. Instance matching with coma++. InBTWWorkshops. pp. 28-37. Aachen, Germany, 2007.
17. S. Espinosa, A. Kaya, S. Melzer, R. Möller, and M. Wessel. Towards a media interpretation framework for the semantic web. In The 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), pp. 374-380, Fremont, USA, 2007.
18. J. Euzenat and P. Shvaiko. Ontology Matching. Springer-Verlag, Heidelberg (DE), 2007.
19. W. Fan, H. Lu, S. E. Madnick and D. Cheung. Discovering and reconciling value conflicts for numerical data integration. Information Systems, 26, 635-656, 2001. (Pubitemid 33046274)
20. V. Haarslev, R. Möller, and M. Wessel. RacerPro User's Guide and Reference Manual Version 1.9.1. Racer Systems GmbH & Co. KG ed., Hamburg, Germany, 2007. Available at http://www.racer-systems.com/products/racerpro/ users-guide-1-9-2-beta.pdf
21. P. Haase and L. Stojanovic. Consistent evolution of OWL ontologies. In European Semantic Web Conference, Springer, Heraklion, Greece, May, 2005.
22. J. Hartigan. Clustering Algorithms. JohnWiley & Sons, Inc., New York, USA, 1975.
23. J. R. Hobbs, M. Stickel, D. Appelt and P. Martin. Interpretation as abduction. Artificial Intelligence Journal, 63, 69-142, 1993.
24. A. Kakas and M. Denecker. Abduction in logic programming. In Computational Logic: Logic Programming and Beyond. A. Kakas and F. Sadri, eds. Part I. Number 2407 in LNAI. pp. 402-436, Springer, 2002. Available at http://citeseer.ist.psu.edu/kakas01abduction.html
25. V. Levenshtein. Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady, 10, 707-710, 1966.
26. M. C. Mayer and F. Pirri. First-order abduction via tableau and sequent calculi. Bulletin of the IPGL, 1, 99-117, 1993.
27. A .E. Monge and C. Elkan. An efficient domain-independent algorithm for detecting approximately duplicate database records. In SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'97). Tucson, Arizona, May, 1997.
28. B. Neumann and R. Möller. On scene interpretation with description logics. In Cognitive Vision Systems: Sampling the Spectrum of Approaches. Number 3948 in LNCS. H. Christensen and H. H. Nagel, eds. pp. 247-278, Springer, 2006.
29. D. Oberle, R. Volz, B. Motik, and S. Staab. An extensible ontology software environment. In Handbook on Ontologies. International Handbooks on Information Systems. S. Staab, and R. Studer, eds. pp. 311-333, Springer, 2004.
30. G. Paul. Approaches to abductive reasoning-an overview. AI Review, 7, 109-152, 1993.
31. E.Rahmand H. H. Do. Data cleaning: problems and current approaches. IEEE Data Engineering Bulletin, 23, 3-13, 2000.
32. G. Salton. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley, 1989.
33. M. Shanahan. Perception as abduction: turning sensor data into meaningful representation. Cognitive Science, 29, 103-134, 2005.
34. P. Singla and P. Domingos. Multi-relational record linkage. In Multi-Relational Data Mining Workshop, Seattle,WA, August, 2004.
35. R. P. Thagard. The best explanation: criteria for theory choice. The Journal of Philosophy, 75, 76-92, 1978.
36. C.Wang, J. Lu and G. Zhang. Integration of ontology data through learning instance matching. In IEEE/WIC/ACM International Conference on Web Intelligence. pp. 536-539, Washington, DC, USA, 2006.
37. D. Zhang and L. Jing. Context-based integration of numerical information. In CEC '05: Proceedings of the Seventh IEEE International Conference on E-Commerce Technology (CEC'05), pp. 418-421. IEEE Computer Society,Washington, DC, USA, 2005.