A Linkset Quality Metric Measuring Multilingual Gain in SKOS Thesauri.

Abstract

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 connections of information belonging to distinct datasets, that might be as important as dataset’s quality when consuming Linked Data. In this paper, we present a first linkset quality measure proposing a function able to estimate the new information gained through linksets among SKOS thesauri. A scoring function, the linkset importing is provided focusing on the multilingual gain, in terms of the new translated labels, obtained by complementing a SKOS thesaurus through skos:exactMatch links. We finally discuss how the linkset importing can be significantly used in the context of the EU project eENVplus.