A clustering-based approach for large-scale ontology matching

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

Volumn 6909 LNCS, Issue , 2011, Pages 415-428

  Algergawy, Alsayed ^a   Massmann, Sabine ^a   Rahm, Erhard ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING APPROACH; DISJOINT SUBGRAPHS; EXPERIMENTAL ANALYSIS; LARGE-SCALE ONTOLOGIES; MATCHING PROBLEMS; ONTOLOGY MATCHING; SCHEMA GRAPH; STRUCTURE-BASED;

INFORMATION SYSTEMS;

ONTOLOGY;

EID: 80053063037     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23737-9_30     Document Type: Conference Paper

References (21)

1. Abiteboul, S., Suciu, D., Buneman, P.: Data on the Web: From Relations to Semistructed Data and XML. Morgan Kaufmann, USA (2000)
2. Algergawy, A., Nayak, R., Saake, G.: Element similarity measures in XML schema matching. Information Sciences 180(24), 4975-4998 (2010)
3. Chiticariu, L., Hernndez, M.A., Kolaitis, P.G., Popa, L.: Semi-automatic schema integration in Clio. In: VLDB 2007, pp. 1326-1329 (2007)
4. Choi, N., Song, I.-Y., Han, H.: A survey on ontology mapping. SIGMOD Record 35(3), 34-41 (2006) (Pubitemid 44547581)
5. Cohen, W.W., Ravikumar, P., Fienberg, S.E.: A comparison of string distance metrics for name-matching tasks. In: IIWeb, pp. 73-78 (2003)
6. Do, H.H., Rahm, E.: Matching large schemas: Approaches and evaluation. Information Systems 32(6), 857-885 (2007) (Pubitemid 46670603)
7. Ehrig, M., Staab, S.: QOM- quick ontology mapping. In: International Semantic Web Conference, pp. 683-697 (2004)
8. Gal, A.: Managing uncertainty in schema matching with top-k schema mappings. Journal on Data Semantics 6, 90-114 (2006) (Pubitemid 351150246)
9. Guerrini, G., Mesiti, M., Sanz, I.: An Overview of Similarity Measures for Clustering XML Documents. Emerging Techniques and Technologies (2007)
10. Hamdi, F., Safar, B., Reynaud, C., Zargayouna, H.: Alignment-based partitioning of large-scale ontologies. In: Guillet, F., Ritschard, G., Zighed, D.A., Briand, H. (eds.) Advances in Knowledge Discovery and Management. SCI, vol. 292, pp. 251-269. Springer, Heidelberg (2010)
11. Hu, W., Qu, Y., Cheng, G.: Matching large ontologies: A divide-and-conquer approach. DKE 67, 140-160 (2008)
12. O. A. E. Initiative (2010), http://20.ontologymatching.org/
13. Massmann, S., Rahm, E.: Evaluating instance-based matching of web directories. In: 11th Workshop on Web and Databases, WebDB (2008)
14. Peukert, E., Berthold, H., Rahm, E.: Rewrite techniques for performance optimization of schema matching processes. In: EDBT, pp. 453-464 (2010)
15. Peukert, E., Massmann, S., Konig, K.: Comparing similarity combination methods for schema matching. In: GI-Workshop, pp. 692-701 (2010)
16. Rahm, E.: Towards large-scale schema and ontology matching. In: Bellahsene, Z., Bonifati, A., Rahm, E. (eds.) Schema Matching and Mapping. Data-Centric Systems and Applications series, Springer, Heidelberg (2010)
17. Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. VLDB Journal 10(4), 334-350 (2001) (Pubitemid 33570972)
18. Rahm, E., Do, H.-H., Massmann, S.: Matching large XML schemas. SIGMOD Record 33(4), 26-31 (2004) (Pubitemid 40056329)
19. Seddiquia, M.H., Aono, M.: An efficient and scalable algorithm for segmented alignment of ontologies of arbitrary size. Web Semantics 7(4), 344-356 (2009)
20. Wang, Z., Wang, Y., Zhang, S., Shen, G., Du, T.: Matching large scale ontology effectively. In: Mizoguchi, R., Shi, Z.-Z., Giunchiglia, F. (eds.) ASWC 2006. LNCS, vol. 4185, pp. 99-105. Springer, Heidelberg (2006) (Pubitemid 44608586)
21. Yuruk, N., Mete, M., Xu, X., Schweiger, T.A.J.: AHSCAN: Agglomerative hierarchical structural clustering algorithm for networks. In: International Conference on Advances in Social Network Analysis and Mining, pp. 72-77 (2009)