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LODmilla: Shared Visualization of Linked Open Data

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Book cover Theory and Practice of Digital Libraries -- TPDL 2013 Selected Workshops (TPDL 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 416))

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Abstract

Most current visualizations for Linked Open Data are created for a single purpose or a single dataset. These ad hoc approaches can hardly exploit the linkedness of LOD, and we miss the tools for comfortable and enjoyable LOD browsing. On the other hand WWW has mature generic visualization: the web browsers. With the LODmilla browser we try to find the basic commodity features for generic LOD browsing including views, graph manipulation, searching, etc. With our browser users can navigate and explore multiple LOD datasets and they can also save LOD views and share them with other users. This feature set enables the visualization of provenance and context for LOD entities as well as to navigate on the links between entities such as documents or datasets.

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References

  1. Berners-Lee, T.: Linked data - design issues, (2006). http://www.w3.org/DesignIssues/LinkedData.html

  2. Bizer, C.: The emerging web of linked data. IEEE Intell. Syst. 24(5), 87–92 (2009)

    Article  Google Scholar 

  3. Cyganiak, R., Jentzsch, A.: The linking open data cloud diagram. http://lod-cloud.net/

  4. The Best Open Data Releases of 2012. http://www.theatlanticcities.com/technology/2012/12/best-open-data-releases-2012/4200/

  5. Graphity. http://graphity.org

  6. Herrmannova, D., Knoth, P.: Visual search for supporting content exploration in large document collections. D-Lib Mag. 18(7/8) (2012)

    Google Scholar 

  7. LodLive. http://en.lodlive.it/

  8. ::oobian::. http://oobian.com/

  9. VisualExplorer. http://academic.research.microsoft.com/VisualExplorer

  10. VisualDataWeb tools. http://www.visualdataweb.org/tools.php

  11. jsPlumb. http://jsplumbtoolkit.com/

  12. jQuery. http://jquery.com/

  13. De Vocht, L., Coppens, S., Verborgh, R., Vander Sande M., Mannens E., Van de Walle R.: Discovering meaningful connections between resources in the web of data. In: Proceedings of the 6th Workshop on Linked Data on the Web (2013)

    Google Scholar 

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Correspondence to András Micsik .

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© 2014 Springer International Publishing Switzerland

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Micsik, A., Tóth, Z., Turbucz, S. (2014). LODmilla: Shared Visualization of Linked Open Data. In: Bolikowski, Ł., Casarosa, V., Goodale, P., Houssos, N., Manghi, P., Schirrwagen, J. (eds) Theory and Practice of Digital Libraries -- TPDL 2013 Selected Workshops. TPDL 2013. Communications in Computer and Information Science, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-08425-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-08425-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08424-4

  • Online ISBN: 978-3-319-08425-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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