Abstract
Mapping from relational data to Linked Data (RDB2RDF) is an essential prerequisite for evolving the World Wide Web into the Web of Data. We propose a methodology to evaluate the quality of such mappings against a set of objective metrics. Our methodology, whose key principles have been approved by a survey among RDB2RDF experts, can be applied to evaluate both automatically and manually performed mappings regardless of their representation. The main contributions of the paper are: (1) assessing the quality requirements for mappings between relational databases and RDF, and (2) proposing methods for measuring how well a given mapping meets the requirements. We showcase the usage of the individual metrics with illustrative examples from a real-life application. Additionally, we provide guidelines to improve a given mapping with regard to the specific metrics.
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Tarasowa, D., Lange, C., Auer, S. (2015). Measuring the Quality of Relational-to-RDF Mappings. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and Semantic Web. KESW 2015. Communications in Computer and Information Science, vol 518. Springer, Cham. https://doi.org/10.1007/978-3-319-24543-0_16
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DOI: https://doi.org/10.1007/978-3-319-24543-0_16
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