Overview of Matching Systems

  • Jérôme Euzenat
  • Pavel Shvaiko

Abstract

This chapter is an overview of matchers which have emerged during the last decades. There have already been some comparisons of matching systems, in particular in (Parent and Spaccapietra 2000; Rahm and Bernstein 2001; Do et al. 2002; Kalfoglou and Schorlemmer 2003b; Noy 2004a; Doan and Halevy 2005; Shvaiko and Euzenat 2005; Choi et al. 2006; Bellahsene et al. 2011). Our purpose here is not to compare them in full detail, though we give some comparisons, but rather to show their variety, in order to demonstrate in how many different ways the methods presented in the previous chapters have been practically exploited.

References

  1. Albagli, S., Ben-Eliyahu-Zohary, R., Shimony, S.E.: Markov network based ontology matching. J. Comput. Syst. Sci. 78(1), 105–118 (2012) MathSciNetMATHGoogle Scholar
  2. Algergawy, A., Nayak, R., Siegmund, N., Köppen, V., Saake, G.: Combining schema and level-based matching for web service discovery. In: Proc. 10th International Conference on Web Engineering (ICWE), Vienna, Austria, pp. 114–128 (2010) Google Scholar
  3. An, Y., Borgida, A., Mylopoulos, J.: Constructing complex semantic mappings between XML data and ontologies. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 6–20 (2005) Google Scholar
  4. An, Y., Borgida, A., Mylopoulos, J.: Discovering the semantics of relational tables through mappings. J. Data Semant. VII, 1–32 (2006) Google Scholar
  5. Arens, Y., Hsu, C.-N., Knoblock, C.: Query processing in the SIMS information mediator. In: Tate, A. (ed.) Readings in Agents, pp. 82–90. AAAI Press, Menlo Park (1996) Google Scholar
  6. Bach, T.-L., Dieng-Kuntz, R.: Measuring similarity of elements in OWL ontologies. In: Proc. 1st International Workshop on Contexts and Ontologies (C&O) at the 20th National Conference on Artificial Intelligence (AAAI), Pittsburgh, PA, USA, pp. 96–99 (2005) Google Scholar
  7. Bach, T.-L., Dieng-Kuntz, R., Gandon, F.: On ontology matching problems (for building a corporate semantic web in a multi-communities organization). In: Proc. 6th International Conference on Enterprise Information Systems (ICEIS), Porto, Portugal, pp. 236–243 (2004) Google Scholar
  8. Barwise, J., Seligman, J.: Information Flow: the Logic of Distributed Systems. Cambridge Tracts in Theoretical Computer Science, vol. 44. Cambridge University Press, Cambridge (1997) MATHGoogle Scholar
  9. Batini, C., Lenzerini, M., Navathe, S.: A comparative analysis of methodologies for database schema integration. ACM Comput. Surv. 18(4), 323–364 (1986) Google Scholar
  10. Bellahsene, Z., Bonifati, A., Rahm, E. (eds.): Schema Matching and Mapping. Data-Centric Systems and Applications. Springer, Berlin (2011) MATHGoogle Scholar
  11. Beneventano, D., Bergamaschi, S., Lodi, S., Sartori, C.: Consistency checking in complex object database schemata with integrity constraints. IEEE Trans. Knowl. Data Eng. 10(4), 576–598 (1998) Google Scholar
  12. Bergamaschi, S., Beneventano, D., Castano, S., Vincini, M.: MOMIS: an intelligent system for the integration of semistructured and structured data. Technical Report T3-R07, Università di Modena e Reggio Emilia, Modena, Italy (1998) Google Scholar
  13. Bergamaschi, S., Castano, S., Vincini, M.: Semantic integration of semistructured and structured data sources. SIGMOD Rec. 28(1), 54–59 (1999) Google Scholar
  14. Berlin, J., Motro, A.: Database schema matching using machine learning with feature selection. In: Proc. 14th International Conference on Advanced Information Systems Engineering (CAiSE), Toronto, Canada. Lecture Notes in Computer Science, vol. 2348, pp. 452–466 (2002) Google Scholar
  15. Besana, P., Robertson, D.: How service choreography statistics reduce the ontology mapping problem. In: Proc. 6th International Semantic Web Conference (ISWC) and 2nd Asian Semantic Web Conference (ASWC), Busan, Korea. Lecture Notes in Computer Science, vol. 4825, pp. 44–57 (2007) Google Scholar
  16. Bilke, A., Naumann, F.: Schema matching using duplicates. In: Proc. 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, pp. 69–80 (2005) Google Scholar
  17. Bock, J., Hettenhausen, J.: Discrete particle swarm optimisation for ontology alignment. Inf. Sci. 192, 152–173 (2012) Google Scholar
  18. Bock, J., Dänschel, C., Stumpp, M.: MapPSO and MapEVO results for OAEI 2011. In: Proc. 6th International Workshop on Ontology Matching (OM) at the 10th International Semantic Web Conference (ISWC), Bonn, Germany, pp. 179–183 (2011) Google Scholar
  19. Bouquet, P., Magnini, B., Serafini, L., Zanobini, S.: A SAT-based algorithm for context matching. In: Proc. 4th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT), Stanford, CA, USA. Lecture Notes in Computer Science, vol. 2680, pp. 66–79 (2003a) Google Scholar
  20. Bouquet, P., Serafini, L., Zanobini, S.: Semantic coordination: a new approach and an application. In: Proc. 2nd International Semantic Web Conference (ISWC), Sanibel Island, FL, USA. Lecture Notes in Computer Science, vol. 2870, pp. 130–145 (2003b) Google Scholar
  21. Bouquet, P., Serafini, L., Zanobini, S., Sceffer, S.: Bootstrapping semantics on the web: meaning elicitation from schemas. In: Proc. 15th International World Wide Web Conference (WWW), Edinburgh, UK, pp. 505–512 (2006) Google Scholar
  22. Boyd, M., Kittivoravitkul, S., Lazanitis, C., McBrien, P., Rizopoulos, N.: AutoMed: a BAV data integration system for heterogeneous data sources. In: Proc. 16th International Conference on Advanced Information Systems Engineering (CAiSE), Riga, Latvia. Lecture Notes in Computer Science, vol. 3084, pp. 82–97 (2004) Google Scholar
  23. Brasethvik, T., Gulla, J.A.: Natural language analysis for semantic document modeling. Data Knowl. Eng. 38(1), 45–62 (2001) MATHGoogle Scholar
  24. Calvanese, D., De Giacomo, G., Lenzerini, M.: Description logics for information integration. In: Kakas, A., Sadri, F. (eds.) Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski. Lecture Notes in Computer Science, vol. 2408, pp. 41–60. Springer, Heidelberg (2002a) Google Scholar
  25. Carroll, J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A., Wilkinson, K.: Jena: implementing the semantic web recommendations. In: Proc. 13th International World Wide Web (WWW) Conference, New York, NY, USA, pp. 74–83 (2004) Google Scholar
  26. Castano, S., De Antonellis, V., De Capitani di Vimercati, S.: Global viewing of heterogeneous data sources. IEEE Trans. Knowl. Data Eng. 13(2), 277–297 (2000) Google Scholar
  27. Castano, S., Ferrara, A., Montanelli, S.: Dynamic knowledge discovery in open, distributed and multi-ontology systems: techniques and applications. In: Taniar, D., Rahayu, J. (eds.) Web Semantics and Ontology, pp. 226–258. Idea Group, Hershey (2005). Chap. 8 Google Scholar
  28. Castano, S., Ferrara, A., Montanelli, S.: Matching ontologies in open networked systems: techniques and applications. J. Data Semant. V, 25–63 (2006) Google Scholar
  29. Chai, X., Sayyadian, M., Doan, A., Rosenthal, A., Seligman, L.: Analyzing and revising mediated schemas to improve their matchability. Proc. VLDB Endow. 1(1), 773–784 (2008) Google Scholar
  30. Chang, K., He, B., Zhang, Z.: Toward large scale integration: building a metaquerier over databases on the web. In: Proc. 2nd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, CA, USA, pp. 44–55 (2005) Google Scholar
  31. Chawathe, S., Garcia Molina, H., Hammer, J., Ireland, K., Papakonstantinou, Y., Ullman, J., Widom, J.: The TSIMMIS project: integration of heterogeneous information sources. In: Proc. 16th Meeting of the Information Processing Society of Japan (IPSJ), Tokyo, Japan, pp. 7–18 (1994) Google Scholar
  32. Choi, N., Song, I.-Y., Han, H.: A survey on ontology mapping. SIGMOD Rec. 35(3), 34–41 (2006) Google Scholar
  33. Clifton, C., Hausman, E., Rosenthal, A.: Experience with a combined approach to attribute matching across heterogeneous databases. In: Proc. 7th IFIP Conference on Database Semantics, Leysin, Switzerland, pp. 428–453 (1997) Google Scholar
  34. Cohen, W., Ravikumar, P., Fienberg, S.: A comparison of string distance metrics for name-matching tasks. In: Proc. International Workshop on Information Integration on the Web (IIWeb) at the 18th International Joint Conference on Artificial Intelligence IJCAI, Acapulco, Mexico, pp. 73–78 (2003a) Google Scholar
  35. Corrales, J.C., Grigori, D., Bouzeghoub, M., Burbano, J.E.: BeMatch: a platform for matchmaking service behavior models. In: Proc. 11th International Conference on Extending Database Technology (EDBT), Nantes, France, pp. 695–699 (2008) Google Scholar
  36. Cramer, E.: Probability measures with given marginals and conditionals: i-projections and conditional iterative proportional fitting. Stat. Decis. 18(3), 311–329 (2000) MathSciNetMATHGoogle Scholar
  37. Cruz, I., Sunna, W.: Structural alignment methods with applications to geospatial ontologies. Trans. GIS 12(6), 683–711 (2008) Google Scholar
  38. Cruz, I., Antonelli, F.P., Stroe, C.: AgreementMaker: efficient matching for large real-world schemas and ontologies. Proc. VLDB Endow. 2(2), 1586–1589 (2009) Google Scholar
  39. d’Aquin, M., Motta, E.: Watson, more than a semantic web search engine. Semant. Web 2(1), 55–63 (2011) Google Scholar
  40. David, J., Guillet, F., Briand, H.: Matching directories and OWL ontologies with AROMA. In: Proc. 15th ACM Conference on Information and Knowledge Management (CIKM), Arlington, VA, USA, pp. 830–831 (2006) Google Scholar
  41. David, J., Guillet, F., Briand, H.: Association rule ontology matching approach. Int. J. Semantic Web Inf. Syst. 3(2), 27–49 (2007) Google Scholar
  42. Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. 39(1), 1–38 (1977) MathSciNetMATHGoogle Scholar
  43. Dhamankar, R., Lee, Y., Doan, A.-H., Halevy, A., Domingos, P.: iMAP: discovering complex semantic matches between database schemas. In: Proc. 23rd International Conference on Management of Data (SIGMOD), Paris, France, pp. 383–394 (2004) Google Scholar
  44. Ding, L., Pan, R., Finin, T., Joshi, A., Peng, Y., Kolari, P.: Finding and ranking knowledge on the semantic web. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 156–170 (2005) Google Scholar
  45. Do, H.-H., Rahm, E.: COMA—a system for flexible combination of schema matching approaches. In: Proc. 28th International Conference on Very Large Data Bases (VLDB), Hong Kong, China, pp. 610–621 (2002) Google Scholar
  46. Do, H.-H., Melnik, S., Rahm, E.: Comparison of schema matching evaluations. In: Proc. Workshop on Web, Web-Services, and Database Systems, Erfurt, Germany. Lecture Notes in Computer Science, vol. 2593, pp. 221–237 (2002) Google Scholar
  47. Doan, A.-H., Halevy, A.: Semantic integration research in the database community: a brief survey. AI Mag. 26(1), 83–94 (2005). Special issue on Semantic integration Google Scholar
  48. Doan, A.-H., Domingos, P., Halevy, A.: Reconciling schemas of disparate data sources: a machine-learning approach. In: Proc. 20th International Conference on Management of Data (SIGMOD), Santa Barbara, CA, USA, pp. 509–520 (2001) Google Scholar
  49. Doan, A.-H., Madhavan, J., Domingos, P., Halevy, A.: Ontology matching: a machine learning approach. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, pp. 385–404. Springer, Berlin (2004). Chap. 18 Google Scholar
  50. Doshi, P., Kolli, R., Thomas, C.: Inexact matching of ontology graphs using expectation-maximization. J. Web Semant. 7(2), 90–106 (2009) Google Scholar
  51. Dowling, W., Gallier, J.: Linear-time algorithms for testing the satisfiability of propositional Horn formulæ. J. Log. Program. 1(3), 267–284 (1984) MathSciNetMATHGoogle Scholar
  52. Drumm, C., Schmitt, M., Do, H.-H., Rahm, E.: QuickMig: automatic schema matching for data migration projects. In: Proc. 16th ACM Conference on Information and Knowledge Management (CIKM), Lisbon, Portugal, pp. 107–116 (2007) Google Scholar
  53. Duchateau, F., Bellahsene, Z., Roche, M.: A context-based measure for discovering approximate semantic matching between schema elements. In: Proc. 1st International Conference on Research in Information Science (RCIS), Ouarzazate, Morocco, pp. 9–20 (2007b) Google Scholar
  54. Duchateau, F., Bellahsene, Z., Coletta, R.: A flexible approach for planning schema matching algorithms. In: Proc. 16th International Conference on Cooperative Information Systems (CoopIS), Monterrey, Mexico. Lecture Notes in Computer Science, vol. 5331, pp. 249–264 (2008) Google Scholar
  55. Duchateau, F., Coletta, R., Bellahsene, Z., Miller, R.: (not) Yet Another Matcher. In: Proc. 18th ACM Conference on Information and Knowledge Management (CIKM), Hong Kong, China, pp. 1537–1540 (2009) Google Scholar
  56. Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap. Springer, New York (2007). 0-387-32805-X Google Scholar
  57. Ehrig, M., Staab, S.: QOM—quick ontology mapping. In: Proc. 3rd International Semantic Web Conference (ISWC), Hiroshima, Japan. Lecture Notes in Computer Science, vol. 3298, pp. 683–697 (2004) Google Scholar
  58. Ehrig, M., Sure, Y.: Ontology mapping—an integrated approach. In: Proc. 1st European Semantic Web Symposium (ESWS), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3053, pp. 76–91 (2004) Google Scholar
  59. Ehrig, M., Staab, S., Sure, Y.: Bootstrapping ontology alignment methods with APFEL. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 186–200 (2005) Google Scholar
  60. Elmeleegy, H., Ouzzani, M., Elmagarmid, A.: Usage-based schema matching. In: Proc. 24th International Conference on Data Engineering (ICDE), Cancún, Mexico, pp. 20–29 (2008) Google Scholar
  61. Embley, D., Xu, L., Ding, Y.: Automatic direct and indirect schema mapping: experiences and lessons learned. SIGMOD Rec. 33(4), 14–19 (2004) Google Scholar
  62. Esposito, F., Fanizzi, N., d’Amato, C.: Recovering uncertain mappings through structural validation and aggregation with the MoTo system. In: Proc. 25th ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, pp. 1428–1432 (2010) Google Scholar
  63. Euzenat, J.: Brief overview of T-tree: the Tropes Taxonomy building Tool. In: Proc. 4th ASIS SIG/CR Workshop on Classification Research, Columbus, OH, USA, pp. 69–87 (1994) Google Scholar
  64. Euzenat, J., Valtchev, P.: Similarity-based ontology alignment in OWL-lite. In: Proc. 16th European Conference on Artificial Intelligence (ECAI), Valencia, Spain, pp. 333–337 (2004) Google Scholar
  65. Everitt, B.: Cluster Analysis. Wiley, New York (1993) Google Scholar
  66. Fleiss, J.: Statistical Methods for Rates and Proportions. Wiley, Chichester (1973) MATHGoogle Scholar
  67. Fowler, J., Perry, B., Nodine, M., Bargmeyer, B.: Agent-based semantic interoperability in InfoSleuth. SIGMOD Rec. 28(1), 60–67 (1999) Google Scholar
  68. Gal, A.: Managing uncertainty in schema matching with top-k schema mappings. J. Data Semant. VI, 90–114 (2006) Google Scholar
  69. Gal, A.: Uncertain Schema Matching. Synthesis Lectures on Data Management. Morgan & Claypool, San Rafael (2011) MATHGoogle Scholar
  70. Gal, A., Modica, G., Jamil, H., Eyal, A.: Automatic ontology matching using application semantics. AI Mag. 26(1), 21–32 (2005b) Google Scholar
  71. Giunchiglia, F., Shvaiko, P.: Semantic matching. Knowl. Eng. Rev. 18(3), 265–280 (2003) Google Scholar
  72. Giunchiglia, F., Shvaiko, P., Yatskevich, M.: S-Match: an algorithm and an implementation of semantic matching. In: Proc. 1st European Semantic Web Symposium (ESWS), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3053, pp. 61–75 (2004) Google Scholar
  73. Giunchiglia, F., Yatskevich, M., Giunchiglia, E.: Efficient semantic matching. In: Proc. 2nd European Semantic Web Conference (ESWC), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3532, pp. 272–289 (2005b) Google Scholar
  74. Giunchiglia, F., Yatskevich, M., Shvaiko, P.: Semantic matching: algorithms and implementation. J. Data Semant. IX, 1–38 (2007) Google Scholar
  75. Giunchiglia, F., Yatskevich, M., McNeill, F., Pane, J., Besana, P., Shvaiko, P.: Approximate structure preserving semantic matching. In: Proc. 7th of International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE), Monterrey, Mexico. Lecture Notes in Computer Science, vol. 5332, pp. 1217–1234 (2008) Google Scholar
  76. Giunchiglia, F., Autayeu, A., Pane, J.: S-Match: an open source framework for matching lightweight ontologies. Semant. Web 3(3), 307–317 (2012a) Google Scholar
  77. Giunchiglia, F., Maltese, V., Autayeu, A.: Computing minimal mappings between lightweight ontologies. Int. J. Digit. Libr. 12(4), 179–193 (2012b) Google Scholar
  78. Goasdoué, F., Lattes, V., Rousset, M.-C.: The use of CARIN language and algorithms for information integration: the PICSEL system. Int. J. Coop. Inf. Syst. 9(4), 383–401 (2000) Google Scholar
  79. Gracia, J., Lopez, V., d’Aquin, M., Sabou, M., Motta, E., Mena, E.: Solving semantic ambiguity to improve semantic web based ontology matching. In: Proc. 2nd International Workshop on Ontology Matching (OM) at the 6th International Semantic Web Conference (ISWC) and the 2nd Asian Semantic Web Conference (ASWC), Busan, Korea, pp. 1–12 (2007) Google Scholar
  80. Gracia, J., Bernad, J., Mena, E.: Ontology matching with CIDER: evaluation report for OAEI 2011. In: Proc. 6th International Workshop on Ontology Matching (OM) at the 10th International Semantic Web Conference (ISWC), Bonn, Germany, pp. 126–133 (2011) Google Scholar
  81. Grigori, D., Corrales, J.C., Bouzeghoub, M.: Behavioral matchmaking for service retrieval: application to conversation protocols. Inf. Syst. 33(7–8), 681–698 (2008) Google Scholar
  82. Haeri (Hossein), S., Abolhassani, H., Qazvinian, V., Hariri, B.B.: Coincidence-based scoring of mappings in ontology alignment. J. Adv. Comput. Intell. Intell. Inform. 11(7), 803–816 (2007) Google Scholar
  83. Hamdi, F., Reynaud, C., Safar, B.: Pattern-based mapping refinement. In: Proc. 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Lisbon, Portugal. Lecture Notes in Computer Science, vol. 6317, pp. 1–15 (2010a) Google Scholar
  84. 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. Studies in Computational Intelligence, vol. 292, pp. 251–269. Springer, Berlin (2010b) Google Scholar
  85. Hanif, M.S., Aono, M.: An efficient and scalable algorithm for segmented alignment of ontologies of arbitrary size. J. Web Semant. 7(4), 344–356 (2009) Google Scholar
  86. He, B., Chang, K.: Statistical schema matching across web query interfaces. In: Proc. 22nd International Conference on Management of Data (SIGMOD), San Diego, CA, USA, pp. 217–228 (2003) Google Scholar
  87. He, B., Chang, K.: Automatic complex schema matching across web query interfaces: a correlation mining approach. ACM Trans. Database Syst. 31(1), 1–45 (2006) Google Scholar
  88. He, H., Meng, W., Yu, C., Wu, Z.: Automatic integration of web search interfaces with WISE-integrator. VLDB J. 13(3), 256–273 (2004) Google Scholar
  89. He, H., Meng, W., Yu, C., Wu, Z.: WISE-integrator: a system for extracting and integrating complex web search interfaces of the deep web. In: Proc. 31st International Conference on Very Large Data Bases (VLDB), Trondheim, Norway, pp. 1314–1317 (2005) Google Scholar
  90. Hovy, E.: Combining and standardizing large-scale, practical ontologies for machine translation and other uses. In: Proc. 1st International Conference on Language Resources and Evaluation (LREC), Granada, Spain, pp. 535–542 (1998) Google Scholar
  91. Hu, W., Jian, N., Qu, Y., Wang, Q.: GMO: a Graph Matching for Ontologies. In: Proc. International Workshop on Integrating Ontologies at the 3rd International Conference on Knowledge Capture (K-CAP), Banff, Canada, pp. 43–50 (2005) Google Scholar
  92. Hu, W., Qu, Y., Cheng, G.: Matching large ontologies: a divide-and-conquer approach. Data Knowl. Eng. 67(1), 140–160 (2008) Google Scholar
  93. Huber, J., Sztyler, T., Noessner, J., Meilicke, C.: CODI: Combinatorial Optimization for Data Integration: results for OAEI 2011. In: Proc. 6th International Workshop on Ontology Matching (OM) at the 10th International Semantic Web Conference (ISWC), Bonn, Germany, pp. 134–141 (2011) Google Scholar
  94. Ichise, R., Takeda, H., Honiden, S.: Integrating multiple Internet directories by instance-based learning. In: Proc. 18th International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp. 22–30 (2003) Google Scholar
  95. Ichise, R., Hamasaki, M., Takeda, H.: Discovering relationships among catalogs. In: Proc. 7th International Conference on Discovery Science, Padova, Italy. Lecture Notes in Computer Science, vol. 3245, pp. 371–379 (2004) Google Scholar
  96. Jain, P., Hitzler, P., Sheth, A., Verma, K., Yeh, P.: Ontology alignment for linked open data. In: Proc. 9th International Semantic Web Conference (ISWC), Shanghai, China. Lecture Notes in Computer Science, vol. 6496, pp. 401–416 (2010) Google Scholar
  97. Jain, P., Yeh, P., Verma, K., Vasquez, R., Damova, M., Hitzler, P., Sheth, A.: Contextual ontology alignment of LOD with an upper ontology: a case study with Proton. In: Proc. 8th Extended Semantic Web Conference (ESWC), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 6643, pp. 80–92 (2011) Google Scholar
  98. James, N., Todorov, K., Hudelot, C.: Combining visual and textual modalities for multimedia ontology matching. In: Proc. 5th International Conference on Semantic and Digital Media Technologies (SAMT), Saarbrücken, Germany. Lecture Notes in Computer Science, vol. 6725, pp. 95–110 (2010) Google Scholar
  99. Jaroszewicz, S., Ivantysynova, L., Scheffer, T.: Schema matching on streams with accuracy guarantees. Intell. Data Anal. 12(3), 253–270 (2008) Google Scholar
  100. Jean-Mary, Y., Shironoshita, P., Kabuka, M.: Ontology matching with semantic verification. J. Web Semant. 7(3), 235–251 (2009) Google Scholar
  101. Jeffrey, R.: The Logic of Decisions. University of Chicago Press, Chicago (1983) Google Scholar
  102. Ji, Q., Liu, W., Qi, G., Bell, D.: LCS: a Linguistic Combination System for ontology matching. In: Proc. 1st International Conference on Knowledge Science, Engineering and Management (KSEM), Guilin, China, pp. 176–189 (2006) Google Scholar
  103. Jian, N., Hu, W., Cheng, G., Qu, Y.: Falcon-AO: aligning ontologies with Falcon. In: Proc. International Workshop on Integrating Ontologies at the 3rd International Conference on Knowledge Capture (K-CAP), Banff, Canada, pp. 87–93 (2005) Google Scholar
  104. Jiménez Ruiz, E., Cuenca Grau, B., Horrocks, I., Berlanga, R.: Ontology integration using mappings: towards getting the right logical consequences. In: Proc. 6th European Semantic Web Conference (ESWC), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 5554, pp. 173–188 (2009) Google Scholar
  105. Jiménez-Ruiz, E., Cuenca Grau, B.: LogMap: logic-based and scalable ontology matching. In: Proc. 10th International Semantic Web Conference (ISWC), Bonn, Germany. Lecture Notes in Computer Science, vol. 7031, pp. 273–288 (2011) Google Scholar
  106. Jiménez-Ruiz, E., Cuenca Grau, B., Zhou, Y., Horrocks, I.: Large-scale interactive ontology matching: algorithms and implementation. In: Proc. 20th European Conference on Artificial Intelligence (ECAI), Montpellier, France, pp. 444–449 (2012) Google Scholar
  107. Kalfoglou, Y., Schorlemmer, M.: IF-Map: an ontology mapping method based on information flow theory. J. Data Semant. I, 98–127 (2003a) Google Scholar
  108. Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. Knowl. Eng. Rev. 18(1), 1–31 (2003b) Google Scholar
  109. Kang, J., Naughton, J.: On schema matching with opaque column names and data values. In: Proc. 22nd International Conference on Management of Data (SIGMOD), San Diego, CA, USA, pp. 205–216 (2003) Google Scholar
  110. Kensche, D., Quix, C., Chatti, M.A., Jarke, M.: GeRoMe: a Generic Role-based Metamodel for model management. J. Data Semant. VIII, 82–117 (2007a) Google Scholar
  111. Kensche, D., Quix, C., Li, X., Li, Y.: GeRoMeSuite: a system for holistic generic model management. In: Proc. 33rd International Conference on Very Large Data Bases (VLDB), Vienna, Austria, pp. 1322–1325 (2007b) Google Scholar
  112. Kensche, D., Quix, C., Li, X., Li, Y., Jarke, M.: Generic schema mappings for composition and query answering. Data Knowl. Eng. 68(7), 599–621 (2009) Google Scholar
  113. Kim, J., Jang, M., Ha, Y.-G., Sohn, J.-C., Lee, S.-J.: MoA: OWL ontology merging and alignment tool for the semantic web. In: Proc. 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), Bari, Italy. Lecture Notes in Computer Science, vol. 3533, pp. 722–731 (2005) Google Scholar
  114. Kotis, K., Vouros, G.: HCONE approach to ontology merging. In: Proc. 1st European Semantic Web Symposium (ESWS), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3053, pp. 137–151 (2004) Google Scholar
  115. Kotis, K., Vouros, G., Stergiou, K.: Towards automatic merging of domain ontologies: the HCONE-merge approach. J. Web Semant. 4(1), 60–79 (2006) Google Scholar
  116. Kschischang, F., Frey, B., Loeliger, H.-A.: Factor graphs and the sum-product algorithm. IEEE Trans. Inf. Theory 47(2), 498–519 (2001) MathSciNetMATHGoogle Scholar
  117. Lacher, M., Groh, G.: Facilitating the exchange of explicit knowledge through ontology mappings. In: Proc. 14th International Florida Artificial Intelligence Research Society Conference (FLAIRS), Key West, FL, USA, pp. 305–309 (2001) Google Scholar
  118. Lambrix, P., Tan, H.: SAMBO—a system for aligning and merging biomedical ontologies. J. Web Semant. 4(1), 196–206 (2006) Google Scholar
  119. Lambrix, P., Tan, H.: A tool for evaluating ontology alignment strategies. J. Data Semant. VIII, 182–202 (2007) Google Scholar
  120. Le Berre, D., Parrain, A.: The sat4j library, release 2.2. J. Satisf. Boolean Model. Comput. 7(2–3), 59–64 (2010) Google Scholar
  121. Lee, M.L., Yang, L.H., Hsu, W., Yang, X.: XClust: clustering XML schemas for effective integration. In: Proc. 11th International Conference on Information and Knowledge Management (CIKM), McLean, VA, USA, pp. 292–299 (2002) Google Scholar
  122. Lee, Y., Sayyadian, M., Doan, A.-H., Rosenthal, A.: eTuner: tuning schema matching software using synthetic scenarios. VLDB J. 16(1), 97–122 (2007) Google Scholar
  123. Lenzerini, M.: Data integration: a theoretical perspective. In: Proc. 21st Symposium on Principles of Database Systems (PODS), Madison, WI, USA, pp. 233–246 (2002) Google Scholar
  124. Leone, N., Greco, G., Ianni, G., Lio, V., Terracina, G., Eiter, T., Faber, W., Fink, M., Gottlob, G., Rosati, R., Lembo, D., Lenzerini, M., Ruzzi, M., Kalka, E., Nowicki, B., Staniszkis, W.: The INFOMIX system for advanced integration of incomplete and inconsistent data. In: Proc. 24th International Conference on Management of Data (SIGMOD), Baltimore, MD, USA, pp. 915–917 (2005) Google Scholar
  125. Lerner, B.S.: A model for compound type changes encountered in schema evolution. ACM Trans. Database Syst. 25(1), 83–127 (2000) Google Scholar
  126. Li, W.-S., Clifton, C.: Semantic integration in heterogeneous databases using neural networks. In: Proc. 20th International Conference on Very Large Data Bases (VLDB), Santiago, Chile, pp. 1–12 (1994) Google Scholar
  127. Li, W.-S., Clifton, C.: SEMINT: a tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data Knowl. Eng. 33(1), 49–84 (2000) MATHGoogle Scholar
  128. Li, Y., Li, J., Zhang, D., Tang, J.: Result of ontology alignment with RiMOM at OAEI-06. In: Proc. 1st International Workshop on Ontology Matching (OM) at the 5th International Semantic Web Conference (ISWC), Athens, GA, USA, pp. 181–190 (2006) Google Scholar
  129. Li, J., Tang, J., Li, Y., Luo, Q.: RiMOM: a dynamic multistrategy ontology alignment framework. IEEE Trans. Knowl. Data Eng. 21(8), 1218–1232 (2009) Google Scholar
  130. Madhavan, J., Bernstein, P., Rahm, E.: Generic schema matching with Cupid. In: Proc. 27th International Conference on Very Large Data Bases (VLDB), Rome, Italy, pp. 48–58 (2001) Google Scholar
  131. Madhavan, J., Bernstein, P., Doan, A.-H., Halevy, A.: Corpus-based schema matching. In: Proc. 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, pp. 57–68 (2005) Google Scholar
  132. Maio, P., Silva, N.: GOALS: a test-bed for ontology matching. In: Proc. 1st International Conference on Knowledge Engineering and Ontology Development (KEOD), Madeira, Portugal, pp. 293–299 (2009) Google Scholar
  133. Malucelli, F., Ottmann, T., Pretolani, D.: Efficient labelling algorithms for the maximum noncrossing matching problem. Discrete Appl. Math. 47(2), 175–179 (1993) MathSciNetMATHGoogle Scholar
  134. Mao, M., Peng, Y., Spring, M.: An adaptive ontology mapping approach with neural network based constraint satisfaction. J. Web Semant. 8(1), 14–25 (2010) Google Scholar
  135. Marie, A., Gal, A.: Boosting schema matchers. In: Proc. 16th International Conference on Cooperative Information Systems (CoopIS), Monterrey, Mexico. Lecture Notes in Computer Science, vol. 5331, pp. 283–300 (2008) Google Scholar
  136. Mascardi, V., Locoro, A., Rosso, P.: Automatic ontology matching via upper ontologies: a systematic evaluation. IEEE Trans. Knowl. Data Eng. 22(5), 609–623 (2010) Google Scholar
  137. Melnik, S., Garcia Molina, H., Rahm, E.: Similarity flooding: a versatile graph matching algorithm. In: Proc. 18th International Conference on Data Engineering (ICDE), San Jose, CA, USA, pp. 117–128 (2002) Google Scholar
  138. Mena, E., Kashyap, V., Sheth, A., Illarramendi, A.: Observer: an approach for query processing in global information systems based on interoperability between pre-existing ontologies. In: Proc. 4th International Conference on Cooperative Information Systems (CoopIS), Brussels, Belgium, pp. 14–25 (1996) Google Scholar
  139. Milo, T., Zohar, S.: Using schema matching to simplify heterogeneous data translation. In: Proc. 24th International Conference on Very Large Data Bases (VLDB), New York, NY, USA, pp. 122–133 (1998) Google Scholar
  140. Mitra, P., Wiederhold, G.: Resolving terminological heterogeneity in ontologies. In: Proc. International Workshop on Ontologies and Semantic Interoperability at the 15th European Conference on Artificial Intelligence (ECAI), Lyon, France, pp. 45–50 (2002) Google Scholar
  141. Mitra, P., Wiederhold, G., Jannink, J.: Semi-automatic integration of knowledge sources. In: Proc. 2nd International Conference on Information Fusion, Sunnyvale, CA, USA, pp. 572–581 (1999) Google Scholar
  142. Mitra, P., Wiederhold, G., Kersten, M.: A graph-oriented model for articulation of ontology interdependencies. In: Proc. 8th Conference on Extending Database Technology (EDBT), Praha, Czech Republic. Lecture Notes in Computer Science, vol. 1777, pp. 86–100 (2000) Google Scholar
  143. Mitra, P., Noy, N., Jaiswal, A.: Ontology mapping discovery with uncertainty. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 537–547 (2005) Google Scholar
  144. Modica, G., Gal, A., Jamil, H.: The use of machine-generated ontologies in dynamic information seeking. In: Proc. 9th International Conference on Cooperative Information Systems (CoopIS), Trento, Italy. Lecture Notes in Computer Science, vol. 2172, pp. 433–448 (2001) Google Scholar
  145. Nagy, M., Vargas-Vera, M.: Towards an automatic semantic data integration: multi-agent framework approach. In: Wu, G. (ed.) Semantic Web, pp. 107–134. In-Teh, Vukovar (2010). Chap. 7 Google Scholar
  146. Nandi, A., Bernstein, P.: HAMSTER: using search clicklogs for schema and taxonomy matching. Proc. VLDB Endow. 2(1), 181–192 (2009) Google Scholar
  147. Naphade, M., Smith, J., Tesic, J., Chang, S.-F., Hsu, W., Kennedy, L., Hauptmann, A., Curtis, J.: Large-scale concept ontology for multimedia. IEEE Multimed. 13(3), 86–91 (2006) Google Scholar
  148. Ngo, D.H., Bellahsene, Z.: YAM++: a multi-strategy based approach for ontology matching task. In: Proc. 18th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Galway, Ireland. Lecture Notes in Computer Science, vol. 7603, pp. 421–425 (2012) Google Scholar
  149. Ngo, D.H., Bellahsene, Z., Coletta, R.: A generic approach for combining linguistic and context profile metrics in ontology matching. In: Proc. 10th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE), Hersonissos, Greece, pp. 800–807 (2011) Google Scholar
  150. Niepert, M., Meilicke, C., Stuckenschmidt, H.: A probabilistic-logical framework for ontology matching. In: Proc. 24th Conference on Artificial Intelligence (AAAI), Atlanta, GA, USA, pp. 1413–1418 (2010) Google Scholar
  151. Nodine, M., Fowler, J., Ksiezyk, T., Perry, B., Taylor, M., Unruh, A.: Active information gathering in infosleuth. Int. J. Coop. Inf. Syst. 9(1–2), 3–28 (2000) Google Scholar
  152. Nottelmann, H., Straccia, U.: sPLMap: a probabilistic approach to schema matching. In: Proc. 27th European Conference on Information Retrieval Research (ECIR), Santiago de Compostela, Spain, pp. 81–95 (2005) Google Scholar
  153. Nottelmann, H., Straccia, U.: A probabilistic, logic-based framework for automated web directory alignment. In: Ma, Z. (ed.) Soft Computing in Ontologies and the Semantic Web. Studies in Fuzziness and Soft Computing, vol. 204, pp. 47–77. Springer, Berlin (2006) Google Scholar
  154. Noy, N.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33(4), 65–70 (2004a) Google Scholar
  155. Noy, N., Musen, M.: SMART: automated support for ontology merging and alignment. In: Proc. 12th Workshop on Knowledge Acquisition, Modeling and Management (KAW), Banff, Canada (1999) Google Scholar
  156. Noy, N., Musen, M.: Anchor-PROMPT: using non-local context for semantic matching. In: Proc. International Workshop on Ontologies and Information Sharing at the 17th International Joint Conference on Artificial Intelligence (IJCAI), Seattle, WA, USA, pp. 63–70 (2001) Google Scholar
  157. Open Information Model, Version 1.0 (1999). http://mdcinfo/oim/oim10.html Google Scholar
  158. Oundhakar, S., Verma, K., Sivashanugam, K., Sheth, A., Miller, J.: Discovery of web services in a multi-ontology and federated registry environment. Int. J. Web Serv. Res. 2(3), 1–32 (2005) Google Scholar
  159. Palopoli, L., Saccá, D., Terracina, G., Ursino, D.: Uniform techniques for deriving similarities of objects and subschemes in heterogeneous databases. IEEE Trans. Knowl. Data Eng. 15(2), 271–294 (2003a) Google Scholar
  160. Palopoli, L., Terracina, G., Ursino, D.: DIKE: a system supporting the semi-automatic construction of cooperative information systems from heterogeneous databases. Softw. Pract. Exp. 33(9), 847–884 (2003b) Google Scholar
  161. Pan, R., Ding, Z., Yu, Y., Peng, Y.: A Bayesian network approach to ontology mapping. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 563–577 (2005) Google Scholar
  162. Parent, C., Spaccapietra, S.: Database integration: the key to data interoperability. In: Papazoglou, M., Spaccapietra, S., Tari, Z. (eds.) Object-Oriented Data Modeling, pp. 221–253. MIT Press, Cambridge (2000). Chap. 9 Google Scholar
  163. Parmentier, G., Bastian, F., Robinson-Rechavi, M.: Homolonto: generating homology relationships by pairwise alignment of ontologies and application to vertebrate anatomy. Bioinformatics 26(14), 1766–1771 (2010) Google Scholar
  164. Peukert, E., Eberius, J., Rahm, E.: AMC: a framework for modelling and comparing matching systems as matching processes. In: Proc. 27th International Conference on Data Engineering (ICDE), Hannover, Germany, pp. 1304–1307 (2011) Google Scholar
  165. Peukert, E., Eberius, J., Rahm, E.: A self-configuring schema matching system. In: Proc. 28th International Conference on Data Engineering (ICDE), Washington, DC, USA, pp. 306–317 (2012) Google Scholar
  166. Po, L., Bergamaschi, S.: Automatic lexical annotation applied to the SCARLET ontology matcher. In: Proc. 2nd International Conference on Intelligent Information and Database Systems (ACIIDS), Hue City, Vietnam, pp. 144–153 (2010) Google Scholar
  167. Preece, A., Hui, K.-Y., Gray, A., Marti, P., Bench-Capon, T., Jones, D., Cui, Z.: The KRAFT architecture for knowledge fusion and transformation. Knowl.-Based Syst. 13(2–3), 113–120 (2000) Google Scholar
  168. Prüfer, H.: Neuer Beweis eines Satzes über Permutationen. Arch. Math. Phys. 27, 742–744 (1918) Google Scholar
  169. Qazvinian, V., Abolhassani, H., Haeri (Hossein), S., Hariri, B.B.: Evolutionary coincidence-based ontology mapping extraction. Expert Syst. 25(3), 221–236 (2008) Google Scholar
  170. Qu, Y., Hu, W., Chen, G.: Constructing virtual documents for ontology matching. In: Proc. 15th International World Wide Web Conference (WWW), Edinburgh, UK, pp. 23–31 (2006) Google Scholar
  171. Quix, C., Kensche, D., Li, X.: Generic schema merging. In: Proc. 19th International Conference on Advanced Information Systems Engineering (CAiSE), Trondheim, Norway, pp. 127–141 (2007a) Google Scholar
  172. Quix, C., Kensche, D., Li, X.: Matching of ontologies with XML schemas using a generic metamodel. In: Proc. 6th of International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE), Vilamoura, Portugal, pp. 1081–1098 (2007b) Google Scholar
  173. Quix, C., Gal, A., Sagi, T., Kensche, D.: An integrated matching system GeRoMeSuite and SMB: results for OAEI 2010. In: Proc. 5th International Workshop on Ontology Matching (OM) at the 9th International Semantic Web Conference (ISWC), Shanghai, China, pp. 166–171 (2010) Google Scholar
  174. Rahm, E., Bernstein, P.: A survey of approaches to automatic schema matching. VLDB J. 10(4), 334–350 (2001) MATHGoogle Scholar
  175. Riedel, S.: Improving the accuracy and efficiency of MAP inference for Markov logic. In: Proc. 24th Conference in Uncertainty in Artificial Intelligence (UAI), Helsinki, Finland, pp. 468–475 (2008) Google Scholar
  176. Robertson, D.: A lightweight coordination calculus for agent systems. In: Revised Selected Papers from 2nd International Workshop on Declarative Agent Languages and Technologies (DALT), New York, NY, USA. Lecture Notes in Computer Science, vol. 3476, pp. 183–197 (2004) Google Scholar
  177. Russell, S., Norvig, P.: Artificial Intelligence: a Modern Approach. Prentice Hall, Englewood Cliffs (1995) MATHGoogle Scholar
  178. Sabou, M., d’Aquin, M., Motta, E.: Exploring the semantic web as background knowledge for ontology matching. J. Data Semant. XI, 156–190 (2008a) Google Scholar
  179. Sabou, M., d’Aquin, M., Motta, E.: SCARLET: SemantiC RelAtion discoveRy by harvesting onLinE onTologies. In: Proc. 5th European Semantic Web Conference (ESWC), Tenerife, Spain. Lecture Notes in Computer Science, vol. 5021, pp. 854–858 (2008b) Google Scholar
  180. Saleem, K., Bellahsene, Z., Hunt, E.: PORSCHE: Performance ORiented SCHEma mediation. Inf. Sci. 33(7–8), 637–657 (2008) Google Scholar
  181. Sayyadian, M., Lee, Y., Doan, A.-H., Rosenthal, A.: Tuning schema matching software using synthetic scenarios. In: Proc. 31st International Conference on Very Large Data Bases (VLDB), Trondheim, Norway, pp. 994–1005 (2005) Google Scholar
  182. Shvaiko, P., Euzenat, J.: A survey of schema-based matching approaches. J. Data Semant. IV, 146–171 (2005) Google Scholar
  183. Shvaiko, P., Giunchiglia, F., Yatskevich, M.: Semantic matching with S-Match. In: De Virgilio, R., Giunchiglia, F., Tanca, L. (eds.) Semantic Web Information Management, pp. 183–202. Springer, Berlin (2009) Google Scholar
  184. Sirin, E., Parsia, B., Cuenca Grau, B., Kalyanpur, A., Katz, Y.: Pellet: a practical OWL-DL reasoner. J. Web Semant. 5(2), 51–53 (2007) Google Scholar
  185. Spiliopoulos, V., Vouros, G., Karkaletsis, V.: On the discovery of subsumption relations for the alignment of ontologies. J. Web Semant. 8(1), 69–88 (2010) Google Scholar
  186. Straccia, U., Troncy, R.: oMAP: combining classifiers for aligning automatically OWL ontologies. In: Proc. 6th International Conference on Web Information Systems Engineering (WISE), New York, NY, USA, pp. 133–147 (2005) Google Scholar
  187. Straccia, U., Troncy, R.: Towards distributed information retrieval in the semantic web: query reformulation using the oMAP framework. In: Proc. 3rd European Semantic Web Conference (ESWC), Budva, Montenegro. Lecture Notes in Computer Science, vol. 4011, pp. 378–392 (2006) Google Scholar
  188. Stroulia, E., Wang, Y.: Structural and semantic matching for assessing web-service similarity. Int. J. Coop. Inf. Syst. 14(4), 407–438 (2005) Google Scholar
  189. Stumme, G., Mädche, A.: FCA-Merge: bottom-up merging of ontologies. In: Proc. 17th International Joint Conference on Artificial Intelligence (IJCAI), Seattle, WA, USA, pp. 225–234 (2001) Google Scholar
  190. Su, X., Gulla, J.A.: An information retrieval approach to ontology mapping. Data Knowl. Eng. 58(1), 47–69 (2006) Google Scholar
  191. Su, W., Wang, J., Lochovsky, F.: Holistic schema matching for web query interfaces. In: Proc. 10th Conference on Extending Database Technology (EDBT), Munich, Germany. Lecture Notes in Computer Science, vol. 3896, pp. 77–94 (2006) Google Scholar
  192. Suchanek, F., Abiteboul, S., Senellart, P.: PARIS: Probabilistic Alignment of Relations, Instances, and Schema. Proc. VLDB Endow. 5(3), 157–168 (2012) Google Scholar
  193. Tang, J., Li, J., Liang, B., Huang, X., Li, Y., Wang, K.: Using Bayesian decision for ontology mapping. J. Web Semant. 4(1), 243–262 (2006) Google Scholar
  194. Thayasivam, U., Doshi, P.: Optima results for OAEI 2011. In: Proc. 6th International Workshop on Ontology Matching (OM) at the 10th International Semantic Web Conference (ISWC), Bonn, Germany, pp. 204–211 (2011) Google Scholar
  195. Thayasivam, U., Doshi, P.: Improved convergence of iterative ontology alignment using block-coordinate descent. In: Proc. 26th Conference on Artificial Intelligence (AAAI), Toronto, Canada, pp. 150–156 (2012) Google Scholar
  196. Tong, H., Faloutsos, C., Pan, J.-Y.: Fast random walk with restart and its applications. In: Proc. 6th IEEE International Conference on Data Mining (ICDM), Hong Kong, China, pp. 613–622 (2006) Google Scholar
  197. Tournaire, R., Petit, J.-M., Rousset, M.-C., Termier, A.: Discovery of probabilistic mappings between taxonomies: principles and experiments. J. Data Semant. XV, 66–101 (2011) Google Scholar
  198. Trillo, R., Gracia, J., Espinoza, M., Mena, E.: Discovering the semantics of user keywords. J. Univers. Comput. Sci. 13(12), 1908–1935 (2007) Google Scholar
  199. Tsarkov, D., Horrocks, I.: FaCT++ description logic reasoner: system description. In: Proc. 3rd International Joint Conference on Automated Reasoning (IJCAR). Lecture Notes in Computer Science, vol. 4130, pp. 292–297. Springer, Seattle (2006) Google Scholar
  200. Udrea, O., Getoor, L., Miller, R.: Leveraging data and structure in ontology integration. In: Proc. 26th International Conference on Management of Data (SIGMOD), Beijing, China, pp. 449–460 (2007) Google Scholar
  201. Vaccari, L., Shvaiko, P., Pane, J., Besana, P., Marchese, M.: An evaluation of ontology matching in geo-service applications. GeoInformatica 16(1), 31–66 (2012) Google Scholar
  202. Vouros, G., Kotis, K.: Extending HCONE-merge by approximating the intended interpretations of concepts iteratively. In: Proc. 2nd European Semantic Web Conference (ESWC), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3532, pp. 198–210 (2005) Google Scholar
  203. Wang, T., Pottinger, R.: SeMap: a generic mapping construction system. In: Proc. 11th International Conference on Extending Database Technology (EDBT), Nantes, France, pp. 97–108 (2008) Google Scholar
  204. Wang, P., Xu, B.: Debugging ontology mapping: a static approach. Comput. Inform. 27(1), 21–36 (2008) MATHGoogle Scholar
  205. Wang, P., Xu, B.: An effective similarity propagation method for matching ontologies without sufficient or regular linguistic information. In: Proc. 4th Asian Semantic Web Conference (ASWC), Shanghai, China. Lecture Notes in Computer Science, vol. 5926, pp. 105–119 (2009) Google Scholar
  206. Wang, J., Wen, J.-R., Lochovsky, F., Ma, W.-Y.: Instance-based schema matching for web databases by domain-specific query probing. In: Proc. 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, pp. 408–419 (2004) Google Scholar
  207. Wang, P., Zhou, Y., Xu, B.: Matching large ontologies based on reduction anchors. In: Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 2343–2348 (2011) Google Scholar
  208. Wimmer, M., Seidl, M., Brosch, P., Kargl, H., Kappel, G.: On realizing a framework for self-tuning mappings. In: Proc. 47th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS), Zürich, Switzerland, pp. 1–16 (2009) Google Scholar
  209. Wu, W., Yu, C., Doan, A., Meng, W.: An interactive clustering-based approach to integrating source query interfaces on the deep web. In: Proc. 23rd International Conference on Management of Data (SIGMOD), Paris, France, pp. 95–106 (2004) Google Scholar
  210. Wu, W., Doan, A., Yu, C.: WebIQ: learning from the web to match deep-web query interfaces. In: Proc. 22nd International Conference on Data Engineering (ICDE), Atlanta, GA, USA, p. 44 (2006) Google Scholar
  211. Xu, L., Embley, D.: Discovering direct and indirect matches for schema elements. In: Proc. 8th International Conference on Database Systems for Advanced Applications (DASFAA), Kyoto, Japan, pp. 39–46 (2003) Google Scholar
  212. Zhang, S., Bodenreider, O.: Experience in aligning anatomical ontologies. Int. J. Semantic Web Inf. Syst. 3(2), 1–26 (2007) Google Scholar
  213. Zohar, S.: Schema-based data translation. Master’s thesis, Tel-Aviv University, Tel-Aviv, Israel (1997) Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jérôme Euzenat
    • 1
  • Pavel Shvaiko
    • 2
  1. 1.INRIA and LIGGrenobleFrance
  2. 2.Informatica Trentina SpA, while at Department of Engineering and Computer Science (DISI), University of Trento, while at Web of Data, Bruno Kessler Foundation - IRSTTrentoItaly

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