International Conference on Knowledge Engineering and the Semantic Web

Knowledge Engineering and Semantic Web pp 210-224 | Cite as

Measuring the Quality of Relational-to-RDF Mappings

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 518)

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.

Keywords

Data quality Quality assessment Quality metrics RDB2RDF 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of Computer ScienceUniversity of Bonn & Fraunhofer IAISBonnGermany

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