VOILA 2016: Visualization and Interaction for Ontologies and Linked Data – Call for Papers

2nd International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA) co-located with ISWC 2016, October 17 or 18, 2016, Kobe, Japan

http://voila2016.visualdataweb.org/

There is no one-size-fits-all solution but different use cases demand different visualization and interaction techniques. Ultimately, providing better user interfaces, visual representations and interaction techniques will foster user engagement and likely lead to higher quality results in different applications employing ontologies and proliferate the consumption of Linked Data.

Topics, subjects, and contexts of interest include (but are not limited to):

Topics:

  • visualizations
  • user interfaces
  • visual analytics
  • requirements analysis
  • case studies
  • user evaluations
  • cognitive aspects

Subjects:

  • ontologies
  • linked data
  • ontology engineering (development, collaboration, ontology design patterns alignment, debugging, evolution, provenance, etc.)

Contexts:

  • classical interaction contexts (desktop, keyboard, mouse, etc.)
  • novel interaction contexts (mobile, touch, gesture, etc.)
  • special settings (large, high-resolution, and multiple displays, etc.)
  • specific user groups and needs (people with disabilities, domain experts, etc.)
  • Full research papers (8-12 pages);
  • Experience papers (8-12 pages);
  • Position papers (6-8 pages);
  • Short research papers (4-6 pages);
  • System papers (4-6 pages).

Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. See CEUR-WS volume 1456 for the proceedings of last year’s VOILA workshop.

Note that workshop attendees cannot register for the workshop only, but need to register for the main conference, as well.

We are preparing a special issue on the workshop topic for the Journal of Web Semantics. More information will be available here later.

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About Craig Anslow

Craig Anslow is a software visualization researcher understanding multi-touch table user interfaces with respect to software visualization.
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