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CfP - Special Issue of Elsevier Journal of Web Semantics on Semantic Statistics

From: Armin Haller <armin.haller@anu.edu.au>
Date: Thu, 17 Nov 2016 12:16:23 +0000
To: Semantic Web <semantic-web@w3.org>
Message-ID: <1E56CC11-E0E7-4F31-8004-6BC201203221@anu.edu.au>
Call For Papers: Special Issue of the Elsevier Journal of Web Semantics on Semantic Statistics

Submission Deadline: 15th December, 2016

 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 analysing Linked Statistical data.
Guest Editors
• Jane Hunter, The University of Queensland, j.hunter@uq.edu.au 
• Armin Haller, Australian National University (ANU), armin.haller@anu.edu.au 
• Franck Cotton, INSEE, France, franck.cotton@insee.fr 

Received on Thursday, 17 November 2016 12:17:03 UTC

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