2nd cfP: FoIKS 2016 || March 7-11, 2016 - Linz, Austria

[Vanina Martinez]

**Apologies for cross-postings***

============== FoIKS 2016 | Call for Papers ===============

CALL FOR PAPERS
9th International Symposium on Foundations of Information and Knowledge
Systems
March 7-11, 2016 - Linz, Austria

The FoIKS symposia provide a biennial forum for presenting and discussing
theoretical and applied research on information and knowledge systems. The
goal is to bring together researchers with an interest in this subject,
share research experiences, promote collaboration and identify new issues
and directions for future research.
FoIKS 2016 solicits original contributions dealing with any foundational
aspect of information and knowledge systems. This includes submissions that
apply ideas, theories or methods from specific disciplines to information
and knowledge systems. Examples of such disciplines are discrete
mathematics, logic and algebra, model theory, information theory,
complexity theory, algorithmics and computation, statistics and
optimization.
Previous FoIKS symposia were held in Bordeaux (France) in 2014, Kiel
(Germany) in 2012, Sofia (Bulgaria) in 2010, Pisa (Italy) in 2008, Budapest
(Hungary) in 2006, Vienna (Austria) in 2004, SchlossSalzau near Kiel
(Germany) in 2002, and Burg/Spreewald near Berlin (Germany) in 2000. FoIKS
took up the tradition of the conference series Mathematical Fundamentals of
Database Systems (MFDBS), which initiated East-West collaboration in the
field of database theory. Former MFDBS conferences were held in Rostock
(Germany) in 1991, Visegrad (Hungary) in 1989, and Dresden (Germany) in
1987.
The FoIKS symposia are a forum for intense discussions. Speakers will be
given sufficient time to present their ideas and results within the larger
context of their research; furthermore, participants will be asked to
prepare a first response to another contribution in order to initiate
discussion.

Suggested topics include, but are not limited to:
=================================================
* Database Design: formal models, dependencies and independencies;
* Big Data: models for data in the Cloud, programming languages for big
data, query processing.
* Dynamics of Information: models of transactions, concurrency control,
updates, consistency preservation, belief revision;
* Information Fusion: heterogeneity, views, schema dominance, multiple
source information merging, reasoning under inconsistency;
* Integrity and Constraint Management: verification, validation, consistent
query answering, information cleaning;
* Intelligent Agents: multi-agent systems, autonomous agents, foundations
of software agents, cooperative agents, formal models of interactions,
logical models of emotions;
* Knowledge Discovery and Information Retrieval: machine learning, data
mining, formal concept analysis and association rules, text mining,
information extraction;
* Knowledge Representation, Reasoning and Planning: non-monotonic
formalisms, probabilistic and non-probabilistic models of uncertainty,
graphical models and independence, similarity-based   reasoning, preference
modeling and handling, argumentation systems;
* Logics in Databases and AI: classical and non-classical logics, logic
programming, description logic, spatial and temporal logics, probability
logic, fuzzy logic;
* Mathematical Foundations: discrete structures and algorithms, graphs,
grammars, automata, abstract machines, finite model theory, information
theory, coding theory, complexity theory, randomness;
* Security in Information and Knowledge Systems: identity theft, privacy,
trust, intrusion detection, access control, inference control, secure Web
services, secure Semantic Web, risk management;
* Semi-Structured Data and XML: data modelling, data processing, data
compression, data exchange;
* Social Computing: collective intelligence and self-organizing knowledge,
collaborative filtering, computational social choice, Boolean games,
coalition formation, reputation systems;
* The Semantic Web and Knowledge Management: languages, ontologies, agents,
adaption, intelligent algorithms; and
* The WWW: models of Web databases, Web dynamics, Web services, Web
transactions and negotiations.

Submission of Papers:
====================
Papers must be typeset using the Springer LaTeX2e style llncs for Lecture
Notes in Computer Science. The suggested number of pages is 16, and the
maximum number of pages is 18. Submissions which deviate substantially from
these guidelines may be rejected without review. Initial submissions must
be in PDF format, but authors should keep in mind that the LaTeX2e source
must be submitted for the final versions of accepted papers. Submissions in
alternate formats, such as Microsoft Word, cannot be accepted for either
initial or final versions. The submissions will be judged for scientific
quality and for suitability as a basis for broader discussion. Submission
is via EasyChair at https://www.easychair.org/conferences/?conf=foiks2016.

Publication:
===========
The proceedings will be published by Springer-Verlag in the Lecture Notes
in Computer Science. After the symposium, authors of selected papers will
be asked to prepare extended versions of their papers for publication in a
special issue of the journal Annals of Mathematics and Artificial
Intelligence.

Important Dates:
===============
* Abstract submission deadline: October 04, 2015
* Paper submission deadline: October 11, 2015
* Author notification: November 22, 2015
* Camera-ready paper due: December 13, 2015
* FoIKS 2016 Symposium in Linz, Austria: March 07-11, 2014

More information in:
===================

* Conference Web Page:  http://cdcc.faw.jku.at/FoIKS2016/
* Facebook Fan Page: FOIKS 2016 (www.facebook.com/foiks16)
* Twitter:  https://twitter.com/FoIKS2016
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