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.
Topics
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. Topics: * 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, RuleML, PMML) * Rule interest/quality measures suitable for business rule learning * Learning disjunctive and negative rules in business rules context
Legal rules and Norms Organizers: Monica Palmirani (University of Bologna, CIRSFID, Italy), Guido Governatori (NICTA, Australia) Description: A norm, following Kelsen’s definition is a mandatory command concerning rights or duties endorsed by an organization that has the power to impose these rules to addressees. A norm is usually expressed in writing using legal texts or in an oral way (e.g., a social norm, an oral contract) or in other representations (e.g., symbolic road signs). This legal source is the main inspiration for the legal rules. Legal rules are interpretations of one or more norms formalized using logical rules in the form of antecedent and consequent. It is mostly the interpretation of the legal source and it is often a normalization of the convoluted and technical legal language. This track wants to investigate the complex relationship among norms, legal sources, interpretation, argumentation and legal rules. The track wants to address the following topics: * Methodologies for modeling regulations using both ontologies and rules * Defeasibility and norms: modeling rule exceptions and priority relations among rules * The relationship between rules and legal argumentation schemes * Rule based inference mechanism for legal reasoning * E-contracting and automated negotiations with rule-based declarative strategies * Business Process Compliance * LegalRuleML formalization * Isomorphism principle in legal rule modelling * The relationship between norms, legal source and rules in the interpretation
Website: http://2014.ruleml.org Twitter hashtag: #ruleml2014 Blog: http://blog.ruleml.org Call for papers: http://2014.ruleml.org/call-for-papers