A linkset quality metric measuring multilingual gain in SKOS Thesauri
published: July 15, 2015, recorded: June 2015, views: 1673
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !