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RDFa Live Browser Extension: Faceted Presentation and Tooltip Navigation over Linked Data on the Web

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Business Information Systems Workshops (BIS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 228))

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Abstract

Several efforts in research and development of technologies have been spent to publish data in open standard formats. The main project in this regard is the Linking Open Data, which goal is to create an open and semantic Web of Data, enabling processing and understanding the data by software agents. However, not only the machines can take advantage of the explicit semantics of data. People can take advantage from the semantic of the data to explore unknown concepts, new relationships and to obtain personalized access to relevant resources and services. However, it is not trivial for a user without experience with Web of Data, to satisfactorily explore and use these data. This paper presents the RDFa Live Browser Extension, a prototype to support the non-technical users in presentation and navigation over Linked Data on the Web.

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Notes

  1. 1.

    http://dbpedia.org/page/Salvador,_Bahia.

  2. 2.

    http://dbpedia.org/property/region.

  3. 3.

    http://purl.org/dc/terms/subject.

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Computer Science, University of Sao Paulo, São Paulo, Brazil

    Andre Carlomagno Rocha

  2. Department of Computer Science WISER: Web, Internet and Intelligent Systems Research Lab, Federal University of Bahia, Salvador, Brazil

    Cassio V. S. Prazeres

Authors
  1. Andre Carlomagno Rocha
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  2. Cassio V. S. Prazeres
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Correspondence to Cassio V. S. Prazeres .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

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Rocha, A.C., Prazeres, C.V.S. (2015). RDFa Live Browser Extension: Faceted Presentation and Tooltip Navigation over Linked Data on the Web. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2015. Lecture Notes in Business Information Processing, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-26762-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-26762-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26761-6

  • Online ISBN: 978-3-319-26762-3

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