Rule interchange and applications : International symposium, Ruleml 2009, Las Vegas, Nevada, USA, November 5-7, 2009. proceedings
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書誌事項
Rule interchange and applications : International symposium, Ruleml 2009, Las Vegas, Nevada, USA, November 5-7, 2009. proceedings
（Lecture notes in computer science, 5858）
Springer, c2009
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
The 2009 International Symposium on Rule Interchange and Applications (RuleML 2009), collocated in Las Vegas, Nevada, with the 12th International Business Rules Forum, was the premier place to meet and to exchange ideas from all ?elds of rules technologies. The aims of RuleML 2009 were both to present new and interesting research results and to show successfully deployed rule-basedapplications.This annualsymposium is the ?agshipevent of the Rule Markup and Modeling Initiative (RuleML). The RuleML Initiative (www.ruleml.org) is a non-pro?t umbrella organi- tion of several technical groups organized by representatives from academia, industry and public sectors working on rule technologies and applications. Its aim is to promote the study, research and application of rules in heterogeneous distributed environments such as the Web. RuleML maintains e?ective links with other major international societies and acts as intermediary between v- ious 'specialized' rule vendors, applications, industrial and academic research groups, as well as standardization e?orts from, for example, W3C, OMG, and OASIS. To emphasize the importance of rule standards RuleML 2009 featured, besides a number of tutorials on various rule aspects, a tutorial and a workshop dedicated to the newly released W3C Rule Interchange Format (RIF).
目次
Keynote Speakers (Abstracts).- Bringing Order to Chaos: RIF as the New Standard for Rule Interchange.- Why Rules Matter in Complex Event Processing...and Vice Versa.- Terminology: The Semantic Foundation for an Organizations Executable Rules.- Rule Systems on the Web.- Challenges for Rule Systems on the Web.- A Modest Proposal to Enable RIF Dialects with Limited Forward Compatibility.- RIF RuleML Rosetta Ring: Round-Tripping the Dlex Subset of Datalog RuleML and RIF-Core.- WellnessRules: A Web 3.0 Case Study in RuleML-Based Prolog-N3 Profile Interoperation.- Rule-Based Event Processing and Reaction Rules.- Rule-Based Event Processing and Reaction Rules.- Correlating Business Events for Event-Triggered Rules.- Semantic Rule-Based Complex Event Processing.- General Rule Topics.- Generation of Rules from Ontologies for High-Level Scene Interpretation.- RBDT-1: A New Rule-Based Decision Tree Generation Technique.- Process Materialization Using Templates and Rules to Design Flexible Process Models.- Rule Transformation and Extraction.- to "Rule Transformation and Extraction" Track.- An SBVR Framework for RESTful Web Applications.- Towards an Improvement of Software Development Processes through Standard Business Rules.- A Rule-Based System Implementing a Method for Translating FOL Formulas into NL Sentences.- An Empirical Study of Unsupervised Rule Set Extraction of Clustered Categorical Data Using a Simulated Bee Colony Algorithm.- Transformation of Graphical ECA Policies into Executable PonderTalk Code.- Session 6.- A Rule-Based Approach to Match Structural Patterns with Business Process Models.- Usage of the Jess Engine, Rules and Ontology to Query a Relational Database.- An XML-Based Manipulation and Query Language for Rule-Based Information.- Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules.- TomML: A Rule Language for Structured Data.- Geospatial-Enabled RuleML in a Study on Querying Respiratory Disease Information.- Session 7.- Rules and Norms: Requirements for Rule Interchange Languages in the Legal Domain.- A Java Implementation of Temporal Defeasible Logic.- Fill the Gap in the Legal Knowledge Modelling.- The Making of SPINdle.- Session 8.- Approaches to Uncertain or Imprecise Rules - A Survey.- Fuzzy Reasoning with a Rete-OO Rule Engine.- Towards Modelling Defeasible Reasoning with Imperfection in Production Rule Systems.
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