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RelFinder: Revealing Relationships in RDF Knowledge Bases

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Semantic Multimedia (SAMT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5887))

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Abstract

The Semantic Web has recently seen a rise of large knowledge bases (such as DBpedia) that are freely accessible via SPARQL endpoints. The structured representation of the contained information opens up new possibilities in the way it can be accessed and queried. In this paper, we present an approach that extracts a graph covering relationships between two objects of interest. We show an interactive visualization of this graph that supports the systematic analysis of the found relationships by providing highlighting, previewing, and filtering features.

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References

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Author information

Authors and Affiliations

  1. Visualization and Interactive Systems, University of Stuttgart, Universitätsstr. 38, 70569, Stuttgart, Germany

    Philipp Heim

  2. Agile Knowledge Engineering and Semantic Web, University of Leipzig, Johannisgasse 26, 04103, Leipzig, Germany

    Sebastian Hellmann & Jens Lehmann

  3. Interactive Systems and Interaction Design, University of Duisburg-Essen, Lotharstr. 65, 47057, Duisburg, Germany

    Steffen Lohmann & Timo Stegemann

Authors
  1. Philipp Heim
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  2. Sebastian Hellmann
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  3. Jens Lehmann
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  4. Steffen Lohmann
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  5. Timo Stegemann
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Editor information

Editors and Affiliations

  1. National University of Singapore, 3 Science Dr, 117543, Singapore

    Tat-Seng Chua

  2. Informatics and Telematics Institute, Centre for Research and Technology-Hellas, 57001, Thessaloniki, Greece

    Yiannis Kompatsiaris

  3. Institut Eurécom. Département Communications Multimédia, 2229, route des Crêtes, B.P. 193, 06904, Sophia-Antipolis CEDEX, France

    Bernard Mérialdo

  4.  , Graz, Austria

    Werner Haas

  5. Institute of Information Systems & Information Management, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Steyrergasse 17, 8010, Graz, Austria

    Georg Thallinger  & Werner Bailer  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Heim, P., Hellmann, S., Lehmann, J., Lohmann, S., Stegemann, T. (2009). RelFinder: Revealing Relationships in RDF Knowledge Bases. In: Chua, TS., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds) Semantic Multimedia. SAMT 2009. Lecture Notes in Computer Science, vol 5887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10543-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-10543-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10542-5

  • Online ISBN: 978-3-642-10543-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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