Utilizing Weighted Ontology Mappings on Federated SPARQL Querying

  • Takahisa Fujino
  • Naoki Fukuta
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8388)


Technologies to allow the heterogeneity of ontologies on the web of data have a key role on the emergence of Linked Open Data. Much research exists on generating better ontology mappings, and also they produce ‘weights’ (i.e. confidence) of each generated mapping. Although the semantics of such weighted ontology mappings has been discussed, how they can effectively be used in querying remains as a crucial issue. In this paper we show how such weighted ontology mappings can effectively be used in SPARQL-based querying on heterogeneous data sources by slightly extending the syntax of SPARQL query language. We show how such an extended query can be translated to a standard SPARQL query and how the extended query can customize the behavior of processing the query by reflecting the user’s demands.


SPARQL Weighted ontology mapping Heterogeneous ontologies 


  1. 1.
    Acosta, M., Vidal, M.-E., Lampo, T., Castillo, J., Ruckhaus, E.: ANAPSID: an adaptive query processing engine for SPARQL endpoints. 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. 18–34. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  2. 2.
    Aguirre, J.L., Eckert, K., Euzenat, J., Ferrara, A., van Hage, W.R., Hollink, L., Meilicke, C., Nikolov, A., Ritze, D., Scharffe, F., Shvaiko, P., Šváb Zamazal, O., Trojahn, C., Jiménez-Ruiz, E., Grau, B.C., Zapilko, B.: Results of the ontology alignment evaluation initiative 2012. In: Proceedings of the 7th Ontology Matching, Workshop (OM2012) (2012)Google Scholar
  3. 3.
    Atencia, M., Borgida, A., Euzenat, J., Ghidini, C., Serafini, L.: A formal semantics for weighted ontology mappings. In: Bernstein, A., et al. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 17–33. Springer, Heidelberg (2012) CrossRefGoogle Scholar
  4. 4.
    Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ISWC/ASWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007) CrossRefGoogle Scholar
  5. 5.
    Bizer, C., Schultz, A.: The R2R framework: publishing and discovering mappings on the web. In: Proceedings of the 1st International Workshop on Consuming Linked Data (COLD2010) (2010)Google Scholar
  6. 6.
    David, J., Euzenat, J., Scharffe, F., Trojahn, C.: The alignment API 4.0. Semant. Web 2(1), 3–10 (2011)Google Scholar
  7. 7.
    Duan, S., Fokoue, A., Srinivas, K., Byrne, B.: A clustering-based approach to ontology alignment. 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. 146–161. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  8. 8.
    Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Berlin (2007)zbMATHGoogle Scholar
  9. 9.
    Fujino, T., Fukuta, N.: A SPARQL query rewriting approach on heterogeneous ontologies with mapping reliability. In: Proceedings of the 3rd IIAI International Conference on e-Services and Knowledge Management (IIAI-ESKM2012), pp. 230–235 (2012)Google Scholar
  10. 10.
    Fujino, T., Fukuta, N.: SPARQLoid - a querying system using own ontology and ontology mappings with reliability. In: Proceedings of the 11th International Semantic Web Conference (Posters & Demos) (ISWC2012) (2012)Google Scholar
  11. 11.
    Ladwig, G., Tran, T.: Linked data query processing strategies. 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. 453–469. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  12. 12.
    Ladwig, G., Tran, T.: SIHJoin: querying remote and local linked data. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 139–153. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  13. 13.
    Makris, K., Bikakis, N., Gioldasis, N., Christodoulakis, S.: SPARQL-RW: transparent query access over mapped RDF data sources. In: Proceedings of the15th International Conference on Extending Database Technology (EDBT2012), pp. 610–613 (2012)Google Scholar
  14. 14.
    Noy, N.F.: Ontology mapping. In: Steffen, S., Rudi, S. (eds.) Handbook on Ontologies, pp. 573–590. Springer, Berlin (2009)CrossRefGoogle Scholar
  15. 15.
    Quilitz, B., Leser, U.: Querying distributed RDF data sources with SPARQL. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 524–538. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  16. 16.
    Rivero, C.R., Hernández, I., Ruiz, D., Corchuelo, R.: MostoDE: a tool to exchange data amongst semantic-web ontologies. J. Syst. Softw. 86(6), 1517–1529 (2013)CrossRefGoogle Scholar
  17. 17.
    Schwarte, A., Haase, P., Hose, K., Schenkel, R., Schmidt, M.: FedX: optimization techniques for federated query processing on linked data. 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. 601–616. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  18. 18.
    Seddiqui, M.H., Aono, M.: An efficient and scalable algorithm for segmented alignment of ontologies of arbitrary size. J. Web Semant. 7(4), 344–356 (2009)CrossRefGoogle Scholar
  19. 19.
    Tordai, A., Ghazvinian, A., van Ossenbruggen, J., Musen, M.A., Noy, N.F.: Lost in translation? empirical analysis of mapping compositions for large ontologies. In: Proceedings of the 5th International Workshop on Ontology Matching (OM2010) (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Graduate School of InformaticsShizuoka UniversityHamamatsuJapan

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