*************** Deadline Extension: 5th June 2012 ******************
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Special Issue on Visualisation of and Interaction
with Semantic Web Data
Special issue of the
International Journal on Semantic Web and Information Systems
http://www.ijswis.org/?q=node%2F41
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Editors: Matthew Rowe, Aba-Sah Dadzie
ABOUT
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Visualising and easing the interpretation of semantic web data is now one of
the largest challenges facing the Semantic Web community. The growth of the Web
of Linked Data has shifted research from being primarily focused on producing
semantic web data to consuming it, not only are we beginning to eat our own dog
food, we are starting to offer it to others outside of the community to taste
and adapt to their needs. Mainstream adoption is, however, still limited by a
lack of understanding of the Semantic Web Technology stack. Questions like
"What makes the Semantic Web different from the World Wide Web", "What is an
ontology?" and "What is semantic metadata?" are commonplace when presenting
non-semantic web savvy users with semantic data. Work is required that allows
lay-users to consume and interact with semantic web data without a deep
knowledge of the intricacies of the Semantic Web stack. In providing such
approaches reuse and consumption of semantic web data will be achieved in areas
such as education, social awareness and governmental transparency, all areas
where data is currently available and encoded as Linked Data and/or using other
semantic representations.
We invite submissions that illustrate interactive visualisation of semantic web
data, to support activities such as exploratory knowledge discovery and
browsing of linked data, in order to aid understanding of the very large
amounts of highly interlinked, high-dimensional data, and therefore demonstrate
the power and utility of the semantic web.
The volume of semantic web data now available and the rate at which it is being
produced also provide challenges to data consumers and semantic web developers.
Without performing a depth-first exploration of a given dataset it is hard to
know what the dataset may contain, its size, its attributes or whether it is
useful for what a given consumer needs. Analytics, supported by interactive
visualisation, plays a vital role in this situation by generating overviews and
improving the interpretation of statistical analysis that describes dataset
properties. Such an approach provides consumers with abstract or high-level
descriptions of what is available and helps to point to what could be useful to
carrying out their tasks successfully.
We solicit work that illustrates the application of visual analytics to
semantic web data. Examples include graph summarisation, network-based
analytics and plot layouts that provide density and connectivity assessments,
used in co-ordination with other visual analytics techniques that highlight
specific attributes, such as time and location.
Ontologies form a vital component of the Semantic Web, allowing
community-specific terms and colloquial use of language to be expressed using
commonly agreed formal terms or concepts. Ontologies further ease the
definition of the (often multiple) relationships between concepts. Despite such
formal constructs, presenting ontological concepts and their relations in a
coherent and legible form still remains a challenge. While support for formal
knowledge representation is available for technical audiences it is unclear if
we are close to an agreed community-standard or practice for such presentation
to other end users? How should the presentation be adapted given the audience
(technical or lay) in order to convey the value of its information content to
them?
We invite submissions that provide novel and innovative ways to visualise
ontologies, concept hierarchies and the dependencies between distributed
ontologies, and contrast existing ontology visualisation approaches.
TOPICS
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We invite submissions covering the following topics:
*Visualisation of Semantic Web Data
--Browsing Linked Data
--Visual exploratory knowledge discovery and information retrieval (from Linked
Data and other Semantic Web Data
--Ontology visualisation
--Big data visualisation
--Including solutions for managing user cognitive load
*Interacting with Semantic Web Data
--Novel interaction paradigms
--Intuitive support for editing or publishing to the Semantic Web
*Visual Analytics of Semantic Web Data
--Graph and network-theoretic analysis
--Geo/socio-temporal and topical analysis
--Statistical analysis
--Visualising (and communicating) uncertainty, validity, dynamicity
--Business-driven analytics (to derive competitive advantage)
---as a tool for sharing knowledge within the enterprise to obtain information
for marketing
*Evaluation of interactive, user-oriented applications for the Semantic Web
--Visualisation as a method for increasing usability
--Usability studies
--Semantic-data specific evaluation tasks
--Comparative analysis of existing approaches
--Benchmarks & metrics
KEY DATES
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Abstract Submission Deadline: 15th May 2012
Submission Deadline (extended): 5th June 2012
Notifications: 30th August 2012
Revised Papers: 15th October 2012
Final Versions: November-December 2012
SUBMISSIONS
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Submissions should be suitable for a highly ranked archival journal (IJSWIS is
among the top journals in WWW). Papers will be categorised broadly as:
Full research papers: typical length: 8K words (longer submissions are
possible if editors and reviewers feel content is necessary)
Application papers: 5K- 8K words
Initial submission should be made as a PDF document to EasyChair at:
https://www.easychair.org/conferences/?conf=ijswisviswd2012
Author guidelines for the IJSWIS may be found at:
http://www.ijswis.org/?q=node/36
Please include, in accordance with the journal's guidelines, 5-10 keywords, to
assist both with indexing and reviewer selection.
CONTACT: ijswisviswd2...@easychair.org
--
Dr Matthew Rowe
Research Associate
Knowledge Media Institute
The Open University, Walton Hall, Milton Keynes, MK7 6AA
http://people.kmi.open.ac.uk/rowe/
--
The Open University is incorporated by Royal Charter (RC 000391), an exempt
charity in England & Wales and a charity registered in Scotland (SC 038302).
