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RuleML 2014 Call for Papers

From: Paul Fodor <pfodor@cs.stonybrook.edu>
Date: Fri, 6 Dec 2013 21:16:47 -0500
Message-ID: <CAGcOFRs6qMkCW60=4nVBgyF=sgtWWo5T_S3_7Zcmb1_e_Lw3OA@mail.gmail.com>
To: Paul Fodor <pfodor@cs.stonybrook.edu>
Apologies for cross-postings. Please send to interested colleagues.

Call for Papers
RuleML 2014 - 8th International Web Rule Symposium
Prague, Czech Republic, August 18-20, 2014

About RuleML 2014
The annual International Web Rule Symposium (RuleML) is the leading
international event in the field of rules and their applications.
RuleML 2014, the eighth event in this series, will be held in
conjunction with ECAI 2014, the 21st European Conference on Artificial
Intelligence in Prague, Czech Republic. RuleML 2014 will host: the 8th
International Rule Challenge, the 4th RuleML Doctoral Consortium, the
Human Language Technology, the Learning (Business) Rules from Data,
and the Legal Rules and Norms tracks, as well as the OASIS Legal
RuleML Meeting.

RuleML 2014 will stimulate cooperation and interoperability between
research and business in a community of researchers and practitioners
who are interested in the theory and applications of rules. The
symposium's areas of research and development have helped drive the
rapid progress in technologies for practical rule and event
processing. As a result, RuleML 2014 will be an exciting venue for the
exchange of new ideas and experiences on issues related to
engineering, management, integration, interoperability of rule
systems, and interchange of rules in distributed enterprise,
intranets, and open distributed environments. Industry practitioners,
rule-system providers, users of rules, technical experts and
developers, and researchers who are exploring foundational issues,
developing systems and applications, or using rule-based systems are
invited to share ideas, results, and experiences.

We invite high-quality submissions related (but not limited) to the
following topics
- Rules and automated reasoning
- Rule-based policies, reputation, and trust
- Rule-based event processing and reaction rules
- Rules and the Web
- Rule discovery from data
- Learning (Business) Rules from Data (special track)
- Fuzzy rules and uncertainty
- Logic programming and nonmonotonic reasoning
- Non-classical logics and the Web (e.g modal, especially deontic and
epistemic, logics)
- Hybrid methods for combining rules and statistical machine learning
techniques (e.g., conditional random fields, Probabilistic Soft Logic)
- Rule transformation, extraction, and learning
- Vocabularies, ontologies, and business rules
- Rule markup languages and rule interchange formats
- Rule-based distributed/multi-agent systems
- Rules, agents, and norms
- Rule-based communication, dialogue, and argumentation models
- Rule-based data integration
- Vocabularies and ontologies for pragmatic primitives (e.g. speech
acts and deontic primitives)
- Pragmatic web reasoning and distributed rule inference / rule execution
- Rules in online market research and online marketing
- Applications of rule technologies in health care and life sciences
- Legal rules and Norms (special track)
- Industrial applications of rules
- Rules and Human Language Technology (special track)
- Rules and business process compliance checking
- Standards activities related to rules
- Rules and social media
- General rule topics

Conference Chair
Leora Morgenstern (Leidos, USA)

Program Chairs
Antonis Bikakis (University College London, UK)
Paul Fodor (Stony Brook University, USA)
Dumitru Roman (SINTEF / University of Oslo, Norway)

Important Dates
Abstract submission: 31 March 2014
Paper submission: 8 April 2014
Notification: 20 May 2014
Camera ready: 6 June 2014
RuleML 2014 dates: 18-20 August 2014

Submission Guidelines
Papers must be original contributions written in English and must be
submitted at
http://www.easychair.org/conferences/?conf=ruleml2014 as:
* Full Papers (15 pages in the proceedings)
* Short Papers (8 pages in the proceedings)

Please upload all submissions in LNCS format
(http://www.springer.de/comp/lncs/authors.html). To ensure high
quality, submitted papers will be carefully peer-reviewed by 3 PC
members based on originality, significance, technical soundness, and
clarity of exposition. Accepted papers will be published in book form
in the Springer Lecture Notes in Computer Science (LNCS) series.

RuleML Special tracks
Rules and Human Language Technology
Organisers: Francois Levy (LIPN, University of Paris, France) and Adam
Wyner (University of Aberdeen, UK)
Description: Over the last decade, there has been an enormous growth
of machine readable textual material available from business, legal,
and government communities. The main application is to provide
decision support, which requires the representation of and reasoning
with rules and knowledge bases. In spite of significant improvements
in the effectiveness and accuracy of Natural Language Processing (NLP)
and, more broadly, Human Language Technologies (HLT), there remains a
substantial knowledge-acquisition bottleneck in using HLT to translate
from the textual content of Big Data to machine-processable,
knowledge-based semantic representations of rules. The Special Track
is intended to focus attention on the issues, provide an outlet for
current work, and be a forum for the exchange of ideas.
Learning (Business) Rules from Data
Organisers: Tomas Kliegr (University of Economics, Prague, Czech
Republic) and Davide Sottara (Arizona State University, USA)
Description: Papers submitted to the track could address (among
others) extraction of business rules from sets of fuzzy, uncertain and
possibly conflicting rules learned from data and bridging the gap
between rules as "correlations" in the data and rules that can be used
in business rule management systems.
* Learning Action, Association, Decision and Constraint Rules from Data
* Extracting business rules from decision trees and rule sets induced from data
* Non-monotonic, uncertain and defeasible reasoning to resolve conflicting rules
* Enhancing rule learning processes with domain knowledge
* Fuzzy and probabilistic extensions to rule markup languages (SBVR,
* Rule interest/quality measures suitable for business rule learning
* Learning disjunctive and negative rules in business rules context
Legal rules and Norms
Organiser: Monica Palmirani (UniversitÓ di Bologna, Italy)

Website: http://2014.ruleml.org
Twitter hashtag #ruleml2014
Blog: http://blog.ruleml.org
Call for papers: http://ruleml2014.vse.cz/call-for-papers
Received on Saturday, 7 December 2013 02:20:52 UTC

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