RuleML 2016 track on Rule- and Ontology-Based Data Access and Transformation
Andrea Cali
andrea at dcs.bbk.ac.uk
Mi Mär 23 20:57:02 CET 2016
*Apologies for cross-postings*
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RuleML 2016
Wednesday, 6 July – Saturday, 9 July, 2016,
Stony Brook University, New York, USA
http://2016.ruleml.org/
*** CALL FOR SPECIAL TRACK PAPERS: ***
*** Rule- and Ontology-Based Data Access and Transformation ***
http://2016.ruleml.org/calls/rule--and-ontology-based-data-access-and-transformation-track
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Ontologies and rule systems, isolated and in combination, have established
themselves as viable approaches to a number of pressing IT problems: giving
both humans and client software (e.g. data analysis) intuitive,
domain-oriented, uniform access to data; integrating multiple data sets with
heterogeneous schemas; migrating data from legacy systems, etc.
This track solicits contributions on theoretical and practical aspects of
rule- and ontology-based data access and transformation.
TOPICS OF INTEREST
include, but are not limited to:
* Logics and rule languages of particular interest to data access or
transformation
* Tractability and intractability results for rule- and ontology-based
systems
in the presence of large amounts of data
* Interactions between rules and ontologies in the presence of large amounts
of data
* Rule- and ontology-based data integration
* Rules & reasoning for Linked Data
* Rule and ontology-driven user interfaces
* Implementations of rule- and ontology-based data access and transformation
systems systems
* Reports on applications and lessons learnt
SUBMISSION
Papers must be original contributions written in English and must be
submitted
at http://www.easychair.org/conferences/?conf=ruleml2016 (please enter the
track name as the first line in the keywords section) as:
- Full Papers (15 pages in the proceedings)
- Short Papers (8 pages in the proceedings)
IMPORTANT DATES
* Paper submission: (EXTENDED) 4th April, 2016
* Author notification: 4th May, 2016
* Camera ready: 18th May, 2016
* Conference:: 6th-9th July, 2016
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