GuessWhat?! Human Intelligence for Mining Linked Data


Markotschi, Thomas ; Völker, Johanna



URL: http://ceur-ws.org/Vol-631/paper4.pdf
Document Type: Conference or workshop publication
Year of publication: 2010
Book title: KIELD 2010 : Proceedings of the 1st Workshop on Knowledge Injection into and Extraction from Linked Data; Lisbon, Portugal, October 15, 2010
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 631
Page range: 28-39
Date of the conference: 15.10.2010
Publisher: Presutti, Valentina
Place of publication: Aachen
Publishing house: RWTH
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: Ontologies are an important prerequisite for an increasing number of knowledge-intensive applications, not to mention the great vision of the Semantic Web. However, despite the obvious need of such formal and explicit representations of knowledge, many people refrain from investing into the tedious and time-consuming task of ontology engineering. At the same time, purely automatic means for ontology construction so far have failed to meet our expectations in terms of quality and expressivity. In this paper we describe GuessWhat?!, a multi-player online game in the tradition of semantic games with a purpose. By leveraging people’s play instinct it motivates them to contribute to the creation of formal domain ontologies from Linked Open Data.We detail on the implementation of the game and present the results of an initial user study.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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