Towards Linkset Quality for Complementing SKOS Thesauri

Linked Data is largely adopted to share and make data more accessible on the web. A quite impressive number of datasets has been exposed and interlinked according to the Linked Data paradigm but the quality of these datasets is still a big challenge in the consuming process. Measures for quality of linked data datasets have been proposed, mainly by adapting concepts defined in the research field of information systems. However, very limited attention has been dedicated to the quality of linksets, the result of which might be important as dataset's quality in consuming data coming from distinct sources. In this paper, we address linkset quality proposing the linkset importing, a novel measure which estimates the completeness of dataset obtained by complementing SKOS thesauri with their skos:exactMatch-related information. We validate the proposed measure with an in-house developed synthetic benchmark: experiments demonstrate that our measure may be adopted as a predictor of the gain that is obtained when complementing thesauri.