Abstract
A common task when publishing relational databases as RDF datasets is to automatically define a vocabulary using the schema data, called Database Schema Ontology (DSO). To automatically reuse terms from existing vocabularies, Ontology Matching (OM) algorithms are used to generate recommendations for the DSO vocabulary. However, when a relational database is partially published due to privacy reasons, the DSO vocabulary loses contextual information and OM results in quite general recommendations, such as FOAF or Dublin Core vocabularies. To reduce the loss of context and to achieve recommendations better related to the DSO context, this paper proposes to use the design rationale captured during the publication of relational databases to RDF, represented as annotations. The case studies show that this annotation strategy helps find recommendations better related to the DSO context.
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
Auer, S., Dietzold, S., Lehmann, J., Hellmann, S., Aumueller, D.: Triplify: light-weight linked data publication from relational databases. In: WWW 2009, pp. 621–630. ACM, New York (2009)
Berardi, R., Breitman, K., Casanova, M.A., Lopes, G.R., de Medeiros, A.P.: StdTrip+K: Design Rationale in the RDB-to-RDF Process. In: Database and Expert Systems Applications, Prague, Czech Republic (2013)
Bizer, C. and Seaborne, A.: D2RQ-treating non-RDF databases as virtual RDF graphs. In: Proceedings of the 3rd International Semantic Web Conference ISWC 2004 (2004)
Breslin, J.G., Passant, A., Decker, S.: The Social Semantic Web, Inc. (2009)
Cerbah, F.: Learning highly structured semantic repositories from relational databases: In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 777–781. Springer, Heidelberg (2008)
Cheatham, M., Hitzler, P.: String Similarity Metrics for Ontology Alignment. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 294–309. Springer, Heidelberg (2013)
Cullot, N., Ghawi, R., Yétongnon, K.: DB2OWL: A Tool for Automatic Database-to-Ontology Mapping. In: SEBD 2007, pp. 491–494 (2007)
Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF Mapping Language, W3C Working Draft (2012), http://www.w3.org/TR/r2rml/
Erling, O., Mikhailov, I.: RDF support in the virtuoso DBMS. In: Networked Knowledge-Networked Media, pp. 7–24 (2009)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Heidelberg (2007)
Salas, P., Viterbo, J., Breitman, K., Casanova, M.A.: StdTrip: Promoting the Reuse of Standard Vocabularies in Open Government Data. In: Wood, D. (ed.) Linking Government Data, Springer Verlag, pp. 113–134. Springer, Heidelberg (2011)
Salas, P.,, B.K., Viterbo, J., Casanova, M.A.: Interoperability by design using the StdTrip tool: an a priori approach. In: I-SEMANTICS (2010)
Shvaiko, P., Euzenat, J.: Ontology Matching: State of the Art and Future Challenges. In: IEEE TKDE, Los Alamitos, CA, USA (2013)
Vidal, V.M., Casanova, M.A., Neto, L.E., Monteiro, J.M.: Semi-Automatic Approach for Generating Customized R2RML Mappings. In: Accepted to the 29th ACM Symposium on Applied Computing, Gyeongju, Korea, March 24-28 (2014)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Berardi, R., Schiessl, M., Thimm, M., Casanova, M.A. (2014). The Role of Design Rationale in the Ontology Matching Step during the Triplification of Relational Databases. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 2014. Lecture Notes in Computer Science, vol 8644. Springer, Cham. https://doi.org/10.1007/978-3-319-10073-9_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-10073-9_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10072-2
Online ISBN: 978-3-319-10073-9
eBook Packages: Computer ScienceComputer Science (R0)