Asymmetric and context-dependent semantic similarity among ontology instances

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4900 LNCS, Issue , 2008, Pages 1-30

  Albertoni, Riccardo ^a   De Martino, Monica ^a  

^a CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; INFORMATION THEORY; PROBLEM SOLVING; SEMANTICS;

CONTEXT-DEPENDENT; DATA SEMANTICS; ONTOLOGY DEFINITION; SEMANTIC SIMILARITY; SIMILARITY ASSESSMENT; SIMILARITY MEASUREMENTS; USER NEEDS;

ONTOLOGY;

EID: 49949115797     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77688-8_1     Document Type: Conference Paper

References (35)

1. Schwering, A., Raubal, M.: Measuring Semantic Similarity Between Geospatial Conceptual Regions. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds.) GeoS 2005. LNCS, vol. 3799, pp. 90-106. Springer, Heidelberg (2005)
2. Wang, H., Wang, W., Yang, J., Yu, P.S.: Clustering by pattern similarity in large data sets. In: ACM SIGMOD Conference (2002)
3. Sheth, A., Bertram, C., Avant, D., Hammond, B., Kochut, K., Warke, Y.: Managing semantic content for the Web. IEEE Internet Comput. 6(4), 80-87 (2002)
4. Medin, D.L., Goldstone, R.L., Gentner, D.: Respects for similarity. Psychological Review 100, 254-278 (1993)
5. Egenhofer, MJ., Mark, D.M.: Naive Geography. In: Kuhn, W., Frank, A.U. (eds.) COSIT 1995. LNCS, vol. 988, pp. 1-15. Springer, Heidelberg (1995)
6. Albertoni, R., De Martino, M.: Semantic Similarity of Ontology Instances Tailored on the Application Context. In: Meersman, R., Tari, Z., et al. (eds.) ODBASE-OTM 2006. LNCS, vol. 4275, pp. 1020-1038. Springer, Heidelberg (2006)
7. Ehrig, M., Haase, P., Stojanovic, N., Hefke, M.: Similarity for Ontologies - A Comprehensive Framework. In: ECIS 2005, Regensburg, Germany (2005)
8. AIM@SHAPE IST NoE No 506766, http://www.aimatshape.net
9. Albertoni, R., Papaleo, L., Pitikakis, M., Robbiano, F., Spagnuolo, M., Vasilakis, G.: Ontology-Based Searching Framework for Digital Shapes. In: Meersman, R., Tari, Z., Herrero, P. (eds.) SWWS-OTM Workshop 2005. LNCS, vol. 3762, pp. 896-905. Springer, Heidelberg (2005)
10. Papaleo, L., Albertoni, R., Marini, S., Robbiano, F.: An ontology-based Approach to Acquisition and Reconstruction. In: Workshop towards Semantic Virtual Environment, Villars, Switzerland (2005)
11. Falcidieno, B., Spagnuolo, M., Alliez, P., Quak, E., Vavalis, E., Houstis, C.: Towards the Semantics of Digital Shapes: The AIM@SHAPE Approach. In: Proceedings of the European Workshop for the Integration of Knowledge, Semantics and Digital Media Technology, London, U.K. QMUL (2004)
12. Albertoni, R., Camossi, E., De Martino, M., Giannini, F., Monti, M.: Semantic Granularity for the Semantic Web. In: Meersman, R., Tari, Z., Herrero, P., et al. (eds.) SWWS-OTM Workshops 2006. LNCS, vol. 4278, pp. 1863-1872. Springer, Heidelberg (2006)
13. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int. J. Hum.-Comput. Stud. 43, 907-928 (1995)
14. Tversky, A.: Features of similarity. Psychological Review 84(4), 327-352 (1977)
15. Yoshida, H., Shida, T., Kindo, T.: Asymmetric similarity with modified overlap coefficient among documents. IEEE Pacific Rim Conference on Communications, Computers and signal Processing 1 (2001)
16. Rodriguez, M.A., Egenhofer, M.J.: Comparing geospatial entity classes: an asymmetric and context-dependent similarity measure. Int. J. Geogr. Inf. Sci. 18(3), 229-256 (2004)
17. Maedche, A., Zacharias, V.: Clustering Ontology Based Metadata in the Semantic Web. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), vol. 2431, pp. 348-360. Springer, Heidelberg (2002)
18. Maedche, A., Staab, S.: Measuring Similarity between Ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 251-263. Springer, Heidelberg (2002)
19. Sicilia, M.A.: Metadata and semantics research. Online Information Review 30(3), 213-216 (2006)
20. Rodriguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from different ontologies. IEEE Trans. Knowl. Data Eng. 15(2), 442-456 (2003)
21. Hierarchical Clustering Explorer, 3.0, http://www.cs.umd.edu/hcil/multi- cluster/
22. Euzenat, J., Valtchev, P.: Similarity-Based Ontology Alignment in OWL-Lite. In: ECAI, Valencia, Spain, pp. 333-337. IOS Press, Amsterdam (2004)
23. Euzenat, J., Le Bach, T., and et al.: State of the Art on Ontology Alignment (2004), http://www.starlab.vub.ac.be/research/projects/knowledgeweb/ kweb-223.pdf
24. Schwering, A.: Hybrid Model for Semantic Similarity Measurement. In: Meersman, R., Tari, Z. (eds.) ODBASE-OTM 2005. LNCS, vol.3761, pp. 1449-1465. Springer, Heidelberg (2005)
25. Usanavasin, S., Takada, S., Doi, N.: Semantic Web Services Discovery in Multi-ontology Environment. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2005. LNCS, vol. 3762, pp. 59-68. Springer, Heidelberg (2005)
26. Hau, J., Lee, W., Darlington, J.: A Semantic Similarity Measure for Semantic Web Services. In: Web Service Semantics: Towards Dynamic Business Integration, workshop at WWW 2005 (2005)
27. Albertoni, R., Bertone, A., De Martino, M.: Semantic Analysis of Categorical Metadata to Search for Geographic Information. In: Proceedings 16th International Workshop on Database and Expert Systems Applications, pp. 453-457. IEEE, Los Alamitos (2005)
28. Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man and Cybernetics 19(1), 17-30 (1989)
29. Li, Y., Bandar, Z., McLean, D.: An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources. IEEE Trans. Knowl. Data Eng. 15, 871-882 (2003)
30. Resnik, P.: Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In: Proc. of the Fourteenth Int. Joint Conference on Artificial Intelligence, pp. 448-453 (1995)
31. Lin, D.: An Information-Theoretic Definition of Similarity. In: Proc. of the Fifteenth Int. Conference on Machine Learning, pp. 296-304. Morgan Kaufmann, San Francisco (1998)
32. Gädenfors, P.: How to make the semantic web more semantic. In: FOIS, pp. 17-34. IOS Press, Amsterdam (2004)
33. d'Amato, C., Fanizzi, N., Esposito, F.: A dissimilarity measure for ALC concept descriptions. In: ACM Symposium of Applied Computing, pp. 1695-1699. ACM, New York (2006)
34. Kashyap, V., Sheth, A.: Semantic and schematic similarities between database objects: a context-based approach. VLDB J. 5(4), 276-304 (1996)
35. Janowicz, K.: Sim-DL: Towards a Semantic Similarity Measurement Theory for the Description Logic ALCNR in Geographic Information Retrieval. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006. LNCS, vol. 4278, pp. 1681-1692. Springer, Heidelberg (2006)