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The Schema-Agnostic Queries (SAQ-2015) Semantic Web Challenge: Task Description

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 548))

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Abstract

As datasets grow in schema-size and heterogeneity, the development of infrastructures which can support users querying and exploring the data, without the need to fully understand the conceptual model behind it, becomes a fundamental functionality for contemporary data management. The first edition of the Schema-agnostic Queries Semantic Web Challenge (SAQ-2015) aims at creating a test collection to evaluate schema-agnostic/schema-free query mechanisms, i.e. mechanisms which are able to semantically match user queries expressed in their own vocabulary to dataset elements, allowing users to be partially or fully abstracted from the representation of the data.

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Notes

  1. 1.

    http://wiki.dbpedia.org/Downloads2014.

  2. 2.

    http://data.dws.informatik.uni-mannheim.de/dbpedia/2014/links/yago_types.nt.bz2.

  3. 3.

    https://sites.google.com/site/eswcsaq2015/resources.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Mathematics, University of Passau, Passau, Germany

    André Freitas

  2. Semantic Computing Group, Cognitive Interaction Technology, Center of Excellence (CITEC), Bielefeld University, Bielefeld, Germany

    Christina Unger

Authors
  1. André Freitas
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  2. Christina Unger
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Correspondence to André Freitas .

Editor information

Editors and Affiliations

  1. Inria, Sophia Antipolis, France

    Fabien Gandon

  2. INRIA Sophia-Antipolis Méditerranée, Sophia Antipolis, France

    Elena Cabrio

  3. Université Paris-Sorbonne, Paris, France

    Milan Stankovic

  4. École des Mines de Saint-Étienne, Saint-Étienne, France

    Antoine Zimmermann

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© 2015 Springer International Publishing Switzerland

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Freitas, A., Unger, C. (2015). The Schema-Agnostic Queries (SAQ-2015) Semantic Web Challenge: Task Description. In: Gandon, F., Cabrio, E., Stankovic, M., Zimmermann, A. (eds) Semantic Web Evaluation Challenges. SemWebEval 2015. Communications in Computer and Information Science, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-319-25518-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-25518-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25517-0

  • Online ISBN: 978-3-319-25518-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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