CFP: Semantic Web Journal SI on Intelligent Exploration of Semantic Data

Semantic Web Journal Special Issue on Intelligent Exploration of Semantic
Data

URL:
http://www.semantic-web-journal.net/blog/call-papers-special-issue-intelligent-exploration-semantic-data

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Submission deadline: 15 April 2017. Papers submitted before the deadline
will be reviewed upon receipt.
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Semantic data, including structured and unstructured data linked with
knowledge models representing meaning, is becoming widely available in a
diversity of contexts and usages. This can make significant contribution to
the implementation and the broader utilisation of semantic web in human
practice. Users with various backgrounds and expectations are becoming
exposed to semantic data, and need to explore such data for different
purposes (searching, browsing, summarising, making sense, taking decisions,
or learning). Semantic data exploration is becoming a key activity in a
range of application domains, such as government and public organisations,
education, life science, cultural heritage, media and entertainment to name
a few. Several novel interfaces and interaction means for exploration of
semantic data are being proposed, for example semantic data browsers,
ontology/content visualisation and exploration environments, semantic
wikis, intelligent agents. However, the efforts have not been consolidated
to capitalise on experience in tackling key issues in exploration of
semantic data, and to bring together the main themes: (a) Human Factors:
the utility and the added value of exploration approaches to humans; (b)
Technology: new technological strands and how these strands impact the
algorithms for interaction and exploration; (c) Application Domains:
domains that have seen a change because of bringing in semantic data
exploration approaches, and the uncharted application domains community has
yet to address; and (d) Evaluation: sharing practices on evaluating
exploration approaches including gold standards, benchmarks and
methodologies.

This SWJ special issue builds upon five consecutive editions of the
International Workshop on Intelligent Exploration of Semantic Data (IESD)
held in 2012-2016. The aim of the special issue is to present the latest
advances in the area and further attract attention to these issues from
interested communities in these areas.

The special issue will solicit original and innovative articles on the
following topics from the thematic areas:

   1. Human Factors: the utility and the added value of exploration
   approaches to humans:
      - Effective interaction environments to help users in discovering
      connections and making sense of large volumes of structured and
      unstructured heterogeneous data (including large ontologies, Linked Data,
      semantically augmented corpus, semantically ­enriched social data);
      - Comparison of different approaches to help users in a manner that
      does not overwhelm or confuse;
      - Intuitive ways to empower lay users of knowledge enriched
      technologies to explore semantic data.
   2. Technology: new technological strands and how these strands impact
   the algorithms for exploration:
      - Methods and techniques for analysing semantic data to discover
      connections (e.g. relatedness, similarity, diversity, complementarity,
      contradictions, causality);
      - Entity and ontology summarisation methods, graph exploration,
      visualisation and navigation;
      - User/context/knowledge gap modelling;
      - Adaptation and personalisation;
      - Feedback and prompts.
   3. Application Domains: domains that have seen a change because of
   bringing in semantic data exploration approaches, and the uncharted
   application domains community has yet to address:
      - Information needs which require exploration of semantic data;
      - Lessons learnt from applications.
   4. Evaluation: sharing practices on evaluating exploration approaches
   including gold standards, benchmarks and methodologies:
      - Benchmarks for exploration tasks;
      - Gold standards for bootstrapping and comparing exploration tools;
      - Methodologies for user studies, matrices for evaluation.


Submission Instructions
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See:
http://www.semantic-web-journal.net/blog/call-papers-special-issue-intelligent-exploration-semantic-data

Guest editors
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Dhaval Thakker
Lecturer,University of Bradford, United Kingdom

Daniel Schwabe
Professor, Catholic University in Rio de Janeiro (PUC-Rio), Brazil

Kouji Kozaki
Associate Professor, Osaka University, Japan

Roberto García
Associate Professor, Universitat de Lleida, Spain

Marco Brambilla
Associate Professor, Politecnico di Milano, Italy

Vania Dimitrova
Associate Professor, University of Leeds, UK

Best regards
Dhaval

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*Dr Dhaval Thakker*

*Lecturer in Computing*

Faculty of Engineering & Informatics

University of Bradford

Bradford, West Yorkshire, BD7 1DP, UK

Ph: +44(0)1274 23 4578

email: d.thakker@bradford.ac.uk

web: http://scim.brad.ac.uk/~dthakker/

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