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Semantic web data visualization with graph style sheets

Published: 04 September 2006 Publication History

Abstract

Visual paradigms such as node-link diagrams are well suited to the representation of Semantic Web data encoded with the Resource Description Framework (RDF), whose data model can be seen as a directed labeled graph. However, these representations are not fully satisfying: diagrams can quickly become big and over-cluttered, making them hard to understand. This problem can be partly addressed by visually transforming the graphs: filtering information, providing alternative layouts for specific elements, and using all available visual variables to encode information, so as to better take advantage of human perceptual abilities. Graph Style Sheets have been designed for that purpose, allowing the filtering, grouping and styling of information elements through the specification of declarative transformation rules.

References

[1]
Mc Schraefel, Smith, D., Owens, A., Russell, A., and Harris, C. 2005. The evolving mSpace platform: leveraging the Semantic Web on the Trail of the Memex. In 16th ACM Conference on Hypertext and Hypermedia.
[2]
Pietriga, E. 2003. Styling RDF Graphs with GSS. XML.com (December). http://www.xml.com/pub/a/2003/12/03/gss.html.
[3]
Pietriga, E., 2005. Fresnel Selector Language for RDF, November. http://www.w3.org/2005/04/fresnel-info/fsl/.
[4]
Quan, D., and Karger, D. 2004. How to Make a Semantic Web Browser. In Proceedings of the 13th international conference on World Wide Web, 255--265.
[5]
Rutledge, L., van Ossenbruggen, J., and Hardman, L. 2005. Making RDF Presentable: Selection, Structure and Surfability for the Semantic Web. In Proceedings of the 14th international conference on World Wide Web.
[6]
W3C, 2004. Resource description framework (RDF): Concepts and Abstract Syntax. http://www.w3.org/TR/rdf-concepts/.
[7]
W3C, 2006. Cascading Style Sheets, April. http://www.w3.org/Style/CSS/.

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Published In

cover image ACM Conferences
SoftVis '06: Proceedings of the 2006 ACM symposium on Software visualization
September 2006
199 pages
ISBN:1595934642
DOI:10.1145/1148493
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2006

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Author Tags

  1. graph drawing
  2. semantic web
  3. style sheets

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  • (2021)S-PathsSemantic Web10.3233/SW-20038312:1(99-116)Online publication date: 1-Jan-2021
  • (2021)Covid-on-the-Web: Exploring the COVID-19 scientific literature through visualization of linked data from entity and argument miningQuantitative Science Studies10.1162/qss_a_001642:4(1301-1323)Online publication date: 1-Dec-2021
  • (2019)GizMO -- A Customizable Representation Model for Graph-Based Visualizations of OntologiesProceedings of the 10th International Conference on Knowledge Capture10.1145/3360901.3364431(163-170)Online publication date: 23-Sep-2019
  • (2019)Interactive Visualisation Techniques for the Web of DataCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3314189(17-21)Online publication date: 13-May-2019
  • (2019)Towards a smooth design process for static communicative node-link diagramsComputer Graphics Forum10.1111/cgf.1265834:3(461-470)Online publication date: 1-Jun-2019
  • (2018)Approaches to visualising linked dataSemantic Web10.5555/2336450.23364542:2(89-124)Online publication date: 12-Dec-2018
  • (2018)Specification and implementation of mapping rule visualization and editingWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2017.12.00349:C(31-50)Online publication date: 1-Mar-2018
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  • (2017)Visualisation of Linked Data – RepriseSemantic Web10.3233/SW-1602498:1(1-21)Online publication date: 1-Jan-2017
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