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Consistency and Inconsistency in Data-centric Applications
Call for Contributions to TLDKS Special Edition
deadline: 12 December 2016
Consistency is an ubiquitous concern in all of computing, particularly
in databases,
knowledge-based systems and applications related to linked or big
data. Approaches
to prevent, work around, explain, live with, tame, diminish, repair,
resolve, or to
take advantage of extant inconsistencies, have been proposed or are
being used, in
theory and in practice. An obvious example is the debate around
eventual consistency,
as manifested in contemporary studies and whitepapers, as well as
implementations of
NewSQL, NoSQL and big data support systems.
The COIN workshop on Consistency and Inconsistency at DEXA-2016 was a
very pleasant
success, brimming with animated discussions and fruitful interchanges among all
participants. Presented papers have been published in the IEEE series of DEXA
Workshop proceedings. For more information on the COIN workshop papers, visit
http://dexa.org/coin_2016/program.html
Now, we call for contributions to a special edition of the TLDKS
journal subseries
of Springer LNCS, from distinguished colleagues working in fields
related to (in)-
consistency of data and information. The special edition will also
contain enhanced
versions of selected papers presented at COIN.
Topics
We are calling for journal contributions of original research, innovative ideas,
work in progress, industrial experience, case studies or position
statements. Also
descriptions of prototype systems and implementations are welcome. Among many
related issues, the topics of interest include the following subjects and areas
where inconsistency may occur.
- Abductive, Deductive, Inductive Reasoning
- ACID
- Adaptive Logics
- Ambiguous, Imprecise, Incomplete, Vague Data
- Argumentation
- Availability and Dependability
- Belief Revision
- Big Data
- Cache Consistency
- Circumscription
- Cloud Computing
- Communication, Collaboration, Interaction
- Concurrent and Parallel Computation
- Counterfactual Reasoning
- Eventual Consistency
- Data Analysis
- Data Cleansing
- Data Mining
- Data Modeling and Knowledge Representation
- Data Quality
- Data Science
- Datalog
- Deduplication
- Default Reasoning
- Degrees of Consistency and Inconsistency
- Description Logic
- Diagnosis
- Direct Logic
- Distribution and Replication
- Eventual Consistency
- Fault Tolerance and Recovery
- Forensics
- Hypothetical Reasoning
- Inconsistency Metrics
- Inconsistency Tolerance
- Information Retrieval
- Integrity Maintenance
- Legacy Data
- Linked Data
- Memory Consistency
- Modal Logic and (In)consistency
- Natural Language Understanding
- Nonmonotonic Reasoning
- NoSQL
- Null Values
- Open Data
- Ontology Alignment and Data Integration
- Paraconsistent Logics
- Planning
- Provenance of Data
- Quantum Information Theory and Processing
- Quasi-classical logic
- Remedying and Repairing
- Requirement Engineering
- Risk Management
- Rough, Noisy, Messy, Fuzzy Data
- Rules and Exceptions
- Security
- Semantic Web
- Semi- and Unstructured Data
- Streaming Data
- Truth Maintenance
Submissions
Please login at TLDKS-COIN http://confdriver.ifs.tuwien.ac.at/tldks and submit
an electronic copy of your work, by 12 December 2016. Submissions should be
written in English and comply with the Springer LNCS format. We suggest a
paper length of about 20 pages; no strict limit is imposed. For any questions,
please contact hdecker AT pms.ifi.lmu.de or reytita AT gmail.com .
Reviewing and Publication
Submitted papers will be peer-reviewed, by members of the COIN-16
program committee
and other distinguished colleagues with expertise in related fields.
Authors will be
notified of the review results by the 17th of February 2017. In case
of acceptance,
a final camera-ready version that would take reviewers' and editors'
feedback into
account is expected to be returned by the 3rd of April 2017.
Editors
Hendrik Decker
PROS, DSIC
Universidad Politecnica de Valencia
Valencia, Spain
Leticia Pascual Miret
ITI
Universidad Politecnica de Valencia
Valencia, Spain
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