Abstract
To extend the scope of retrieval and reasoning spanning several linked data stores, it is necessary to find out whether information in different collections actually points to the same real world object. Thus, data stores are interlinked through owl:sameAs relations. Unfortunately, this cross-linkage is not as extensive as one would hope. To remedy this problem, instance matching systems automatically discovering owl:sameAs links, have been proposed recently. According to results on existing benchmarks, such systems seem to have reached a convincing level of maturity. But the evaluations miss out on some important characteristics encountered in real-world data. To establish if instance matching systems are really ready for real-world data interlinking, we analyzed the main challenges of instance matching. We built a representative data set that emphasizes these challenges and evaluated the global quality of instance matching systems on the example of a top performer from last year’s Instance Matching track organized by the Ontology Alignment Evaluation Initiative (OAEI).
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Ding, L., Shinavier, J., Shangguan, Z., McGuinness, D.L.: SameAs Networks and Beyond: Analyzing Deployment Status and Implications of owl:sameAs in Linked Data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 145–160. Springer, Heidelberg (2010)
Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Discovering and Maintaining Links on the Web of Data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 650–665. Springer, Heidelberg (2009)
Isele, R., Jentzsch, A., Bizer, C.: Silk Server - Adding missing Links while consuming Linked Data. In: Int. Workshop on Consuming Linked Data, COLD (2010)
Tang, J., Li, J., Liang, B., Huang, X., Li, Y., Wang, K.: Using Bayesian decision for ontology mapping. Journal Web Semant. Sci. Serv. Agents World Wide Web. 4, 243–262 (2006)
Böhm, C., de Melo, G.: LINDA: Distributed web-of-data-scale entity matching. In: Conf. Information and Knowledge Management, CIKM (2012)
Jiménez-Ruiz, E., Cuenca Grau, B.: LogMap: Logic-Based and Scalable Ontology Matching. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 273–288. Springer, Heidelberg (2011)
Nguyen, K., Ichise, R., Le, B.: Interlinking Linked Data Sources Using a Domain-Independent System. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds.) JIST 2012. LNCS, vol. 7774, pp. 113–128. Springer, Heidelberg (2013)
Halpin, H., Hayes, P.J.: When owl:sameas isn’t the same: An analysis of identity links on the semantic web. In: Linked Data on the Web, LDOW (2010)
Alfio Ferrara, D.L.: Towards a Benchmark for Instance Matching. In: Int. Workshop on Ontology Matching, OM (2008)
Tang, J., Liang, B.-Y., Li, J., Wang, K.-H.: Risk Minimization based Ontology Mapping. In: Chi, C.-H., Lam, K.-Y. (eds.) AWCC 2004. LNCS, vol. 3309, pp. 469–480. Springer, Heidelberg (2004)
Zheng, Q., Shao, C., Li, J., Wang, Z., Hu, L.: RiMOM2013 Results for OAEI 2013. In: Int. Workshop on Ontology Matching, OM (2013)
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Homoceanu, S., Kalo, JC., Balke, WT. (2014). Putting Instance Matching to the Test: Is Instance Matching Ready for Reliable Data Linking?. In: Andreasen, T., Christiansen, H., Cubero, JC., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2014. Lecture Notes in Computer Science(), vol 8502. Springer, Cham. https://doi.org/10.1007/978-3-319-08326-1_28
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DOI: https://doi.org/10.1007/978-3-319-08326-1_28
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