Collecting Links between Entities Ranked by Human Association Strengths

Jörn Hees, Mohamed Khamis, Ralf Biedert, Slim Abdennadher, Andreas Dengel

In: Philipp Cimiano , Óscar Corcho , Valentina Presutti , Laura Hollink , Sebastian Rudolph (Hrsg.). ESWC. Extended Semantic Web Conference (ESWC-13) The Semantic Web: Semantics and Big Data, 10th International Conference, ESWC 2013 May 26-30 Montpellier France Seiten 517-531 Lecture Notes in Computer Science (LNCS) 7882 ISBN 978-3-642-38287-1 Springer 2013.


In recent years, the ongoing adoption of Semantic Web technologies has lead to a large amount of Linked Data that has been generated. While in the early days of the Semantic Web we were fighting data scarcity, nowadays we suffer from an overflow of information. In many situations we want to restrict the amount of facts which is shown to an end-user or passed on to another system to just the most important ones. In this paper we propose to rank facts in accordance to human association strengths between concepts. In order to collect a ground truth we developed a Family Feud like web-game called "Knowledge Test Game". Given a Linked Data entity it collects other associated Linked Data entities from its players. We explain the game's concept, its suggestion box which maps the players' text input back to Linked Data entities and include a detailed evaluation of the game showing promising results. The collected data is published and can be used to evaluate algorithms which rank facts.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence