Abstract
Nowadays, the number of linked data sources available on the Web is considerable. In this scenario, users are interested in frameworks that help them to query those heterogeneous data sources in a friendly way, so avoiding awareness of the technical details related to the heterogeneity and variety of data sources. With this aim, we present a system that implements an innovative query approach that obtains results to user queries in an incremental way. It sequentially accesses different datasets, expressed with possibly different vocabularies. Our approach enriches previous answers each time a different dataset is accessed. Mapping axioms between datasets are used for rewriting the original query and so obtaining new queries expressed with terms in the vocabularies of the target dataset. These rewritten queries may be semantically equivalent or they could result in a certain semantic loss; in this case, an estimation of the loss of information incurred is presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. International Journal on Semantic Web and Information Systems (IJSWIS) 5(3), 1–22 (2009)
Correndo, G., Salvadores, M., Millard, I., Glaser, H., Shadbolt, N.: Sparql query rewriting for implementing data integration over linked data. In: Proceedings of the 2010 EDBT/ICDT Workshops, p. 4. ACM (2010)
Elbassuoni, S., Ramanath, M., Weikum, G.: Query relaxation for entity-relationship search. In: The Semanic Web: Research and Applications, pp. 62–76 (2011)
Euzenat, J., Shvaiko, P.: Ontology matching, vol. 18. Springer, Heidelberg (2007)
Herzig, D., Tran, T.: One query to bind them all. In: COLD 2011, CEUR Workshop Proceedings, vol. 782 (2011)
Hurtado, C., Poulovassilis, A., Wood, P.: Query relaxation in rdf. Journal on Data Semantics X, 31–61 (2008)
Makris, K., Gioldasis, N., Bikakis, N., Christodoulakis, S.: Ontology mapping and sparql rewriting for querying federated rdf data sources. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6427, pp. 1108–1117. Springer, Heidelberg (2010)
Manola, F., Miller, E., McBride, B.: Rdf primer w3c recommendation (February 10, 2004)
Mena, E., Kashyap, V., Illarramendi, A., Sheth, A.: Imprecise answers on highly open and distributed environments: An approach based on information loss for multi-ontology based query processing. International Journal of Cooperative Information Systems (IJCIS) 9(4), 403–425 (2000)
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)
Salton, G.: Automatic Text Processing: The Transformation, Analysis, and Retrieval of. Addison-Wesley (1989)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Torre-Bastida, A.I., Bermúdez, J., Illarramendi, A., Mena, E., González, M. (2013). Query Rewriting for an Incremental Search in Heterogeneous Linked Data Sources. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-40769-7_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40768-0
Online ISBN: 978-3-642-40769-7
eBook Packages: Computer ScienceComputer Science (R0)