Abstract
Ontology-based data access (OBDA) deals with the problem of accessing autonomous data sources through a shared, virtual ontology, and declarative mappings connecting the data sources to the ontology. The W3C standard R2RML allows for mapping relational data sources to RDFS/OWL ontologies. In this paper, we present algorithms for the semantic analysis of R2RML mappings in the OBDA setting, when the ontology is expressed in OWL 2 QL. The focus of such algorithms is to identify the main semantical anomalies (inconsistency and redundancy) of a mapping specification with respect to the ontology and/or the data sources. Such algorithms have been implemented in the mapping analysis tool developed within the Optique European project. We also report on the experiments conducted within the Optique project use cases.
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Notes
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This notion of strong local inconsistency is slightly different from the notion of local inconsistency presented in [11]: in particular, it can be shown that strong local consistency implies local consistency, while the converse in general does not hold.
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Acknowledgments
This research has been partially supported by the EU under FP7 project Optique (grant n. FP7-318338).
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Civili, C., Mora, J., Rosati, R., Ruzzi, M., Santarelli, V. (2016). Semantic Analysis of R2RML Mappings for Ontology-Based Data Access. In: Ortiz, M., Schlobach, S. (eds) Web Reasoning and Rule Systems. RR 2016. Lecture Notes in Computer Science(), vol 9898. Springer, Cham. https://doi.org/10.1007/978-3-319-45276-0_3
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