Rules on the Web: From Theory to Applications
Description
The 17 full and 6 short papers presented together with 3 keynote talks were carefully reviewed and selected from 48 submissions. The papers cover the following topics: semantic web rule languages and standards, rule engines, formal and operational semantics and rule-based systems, the relation between natural language and rules, automation of business rules generation from existing data, and aspects related to legal rules and norms for web and corporate environments.
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Content
Reaction RuleML 1.0 for Rules, Events and Actions in Semantic Complex Event Processing.- A Logical Characterization of a Reactive System Language.- On Using Semantically-Aware Rules for Efficient Online Communication.- Conceptual Model Interoperability: A Metamodel-driven Approach.- On Verifying Reactive Rules Using Rewriting Logic.- Using Rules to Develop a Personalized and Social Location Information System for the Semantic Web.- Checking Termination of Logic Programs with Function Symbols through Linear Constraints.- A Datalog+ RuleML 1.01 Architecture for Rule-Based Data Access in Ecosystem Research.- A Hybrid Diagnosis Approach Combining Black-Box and White-Box Reasoning.- Multi-valued Argumentation Frameworks.- Incomplete and Uncertain Data Handling in Context-Aware Rule-Based Systems with Modified Certainty Factors Algebra.- The Hardness of Revising Defeasible Preferences.- From Guidelines to Practice: Improving Clinical Care through Rule-Based Clinical Decision Support at the Point of Care.- Requirement Compound Mining and Analysis.- Semi-automated Vocabulary Building for Structured Legal English.- Basics for a Grammar Engine to Verbalize Logical Theories in isiZulu.- Formal Rule Representation and Verification from Natural Language Requirements Using an Ontology.- Learning Business Rules with Association Rule Classifiers.- Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning.- Learning Association Rules from Data through Domain Knowledge and Automation.- Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities.- Modeling Obligations with Event-Calculus.- A Process for Knowledge Transformation and Knowledge Representation of Patent Law.- Legal Responsibility for the Acts of Others: A Logical Analysis.