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Experiments on Using LOD Cloud Datasets to Enrich the Content of a Scientific Knowledge Base

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Knowledge Engineering and the Semantic Web (KESW 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 394))

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Abstract

This paper describes the issues arising when employing the Linked Open Data (LOD) cloud datasets to enrich the content of a scientific knowledge base as well as the approaches to solving them. The experiments are carried out with the help of a toolkit intended to simplify the analysis and integration of data from different datasets. The toolkit comprises several tools for application-specific visualization. The dataset of the Open Archive of the Russian Academy of Sciences and several bibliographic datasets are used as test examples.

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Authors and Affiliations

  1. A.P. Ershov Institute of Informatics Systems, Russian Academy of Sciences, Siberian Branch 6, Acad. Lavrentiev pr., Novosibirsk, 630090, Russia

    Zinaida Apanovich & Alexander Marchuk

Authors
  1. Zinaida Apanovich
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  2. Alexander Marchuk
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Editor information

Editors and Affiliations

  1. Institute of Artificial Intelligence, University of Ulm, 89069, Ulm, Germany

    Pavel Klinov

  2. Intelligence Systems Laboratory, Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Kronverksky prospekt 49, office 380,, 197101, St. Petersburg, Russia

    Dmitry Mouromtsev

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Apanovich, Z., Marchuk, A. (2013). Experiments on Using LOD Cloud Datasets to Enrich the Content of a Scientific Knowledge Base. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2013. Communications in Computer and Information Science, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41360-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-41360-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41359-9

  • Online ISBN: 978-3-642-41360-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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