Collecting Links between Entities Ranked by Human Association Strengths View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

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

ABSTRACT

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. More... »

PAGES

517-531

References to SciGraph publications

  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • 2011. BetterRelations: Using a Game to Rate Linked Data Triples in KI 2011: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2012. BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game in SEARCH COMPUTING
  • Book

    TITLE

    The Semantic Web: Semantics and Big Data

    ISBN

    978-3-642-38287-1
    978-3-642-38288-8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-38288-8_35

    DOI

    http://dx.doi.org/10.1007/978-3-642-38288-8_35

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037248357


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