Journal of Web Semantics special issue on Semantic Statistics

Journal of Web Semantics special issue on Semantic Statistics

The Journal of Web Semantics (http://bit.ly/ElsJWS) seeks submissions for a special issue on Semantic Statistics to be edited by Jane Hunter, Armin Haller and Franck Cotton. Topics of interest include the following.

* The application of Semantic Web technologies and standards to the formalization, publishing, analysis and linking of statistical and census datasets and metadata;

* The application of statistical methods to Linked Data;

* Vocabularies and ontologies to support the publishing, discovery, linking and re-use of statistical metadata (code lists and classifications, descriptive metadata, provenance and quality information, etc.);

* Facilitating the re-use of national census datasets via RDF/linked open data approaches using vocabularies and ontologies (e.g., RDF data cubes);

* Using statistical approaches (e.g., R, SAS, Stata) to derive semantic reasoning, inferencing and classification rules;

* Representing and inferring the quality of linked data using statistically rigorous methods;

* Comparisons, analytics, alignment and enrichment of statistical (census) data and associated concepts using semantics;

* Improving statistical matching and linkage methods using semantic information;

* Methods for performing data reconciliation, ontology matching, instance matching on statistical data;

* Representing, correlating and analyzing Linked Statistical data.

Important Dates:

* Submission deadline: 15 December, 2016

* Author notification: 1 March 2017

* Final version: 1 May, 2017

* Publication: 3rd quarter, 2017

For more information, see http://bit.ly/JwsSS