Advances in Rule Interchange and Applications: International Symposium, RuleML 2007, Orlando, Florida, October 25-26, 2007, Proceedings (Paperback)

Invited Papers.- How Ontologies and Rules Help to Advance Automobile Development.- Are Your Rules Online? Four Web Rule Essentials.- Session: Business Process, Policy and IT Service Management and Modeling.- KISS - Knowledge-Intensive Service Support: An Approach for Agile Process Management.- Specifying Process-Aware Access Control Rules in SBVR.- A Rule-Based Approach to Prioritization of IT Work Requests Maximizing Net Benefit to the Business.- Session: Rule Languages and Interchange Standards.- A Generic Module System for Web Rule Languages: Divide and Rule.- Towards Semantically Grounded Decision Rules Using ORM?+?.- Towards Ontological Commitments with ?-RIDL Markup Language.- Session: Business Rules, Rule Engines and Applications.- Recovering Business Rules from Legacy Source Code for System Modernization.- An Approach for Bridging the Gap Between Business Rules and the Semantic Web.- Take - A Rule Compiler for Derivation Rules.- Session: RuleML-2007 Challenge.- The OO jDREW Engine of Rule Responder: Naf Hornlog RuleML Query Answering.- Querying the Semantic Web with SWRL.- Implementation of Production Rules for a RIF Dialect: A MISMO Proof-of-Concept for Loan Rates.- Session: Rules, Reasoning, and Ontologies.- Adapting the Rete-Algorithm to Evaluate F-Logic Rules.- Rule Definition for Managing Ontology Development.- Integrating Rules and Description Logics with Circumscription for the Semantic Web.- XML Data Compatibility from the Ground Up.- Session: Reaction Rules and Rule Applications.- Exploiting E-C-A Rules for Defining and Processing Context-Aware Push Messages.- The Use of Ontologies and Rules to Assist in Academic Advising.- Towards Knowledge Extraction from Weblogs and Rule-Based Semantic Querying.- Complex Information Management Using a Framework Supported by ECA Rules in XML.- AIM: An XML-Based ECA Rule Language for Supporting a Framework for Managing Complex Information.