We describe the development of RuleML to Version 1.02 in order to integrate a subset of features from Deliberation and Reaction RuleML into a new family of languages called Consumer RuleML, designed to be embedded into other languages such as LegalRuleML.

PSOA RuleML is an object-relational rule language generalizing POSL, OO RuleML, F-logic, and RIF-BLD. In PSOA RuleML, the notion of positional-slotted, object-applicative (psoa) terms is used as a generalization of: (1) positional-slotted terms in POSL and OO RuleML and (2) frame and class-membership terms in F-logic and RIF-BLD. We demonstrate an online PSOA RuleML reasoning service, PSOATrans...

Reaction RuleML is one of the two major subfamilies of RuleML and acts as an interchange format for reactive rules and rulebased event-processing languages. Exemplified with a recent instantiation of Rule Responder, a rule-based inference agent middleware, we demonstrate the event messaging features of Reaction RuleML, which supports loosely-coupled interface-based interaction using rule signat...

After four decades of development, it is now well accepted that rules are one of the most suitable decisioning mechanism for changeintensive applications. Moreover, as web applications are expanding everywhere, rule languages allow to publish, trasmit, deploy, and execute rules on the Web. This paper describes some principles and practices of developing rulebases from computationally independen...

We present a re-conceptualization and re-engineering of the non-SWSL portion of the Derivation Rules subfamily of RuleML in the Relax NG Compact (RNC) schema syntax. The benefits arising from RNC schemas include decreased positional sensitivity and greater flexibility in modularization (from fine-grained modular to monolithic), as well as unification of human-readable (“Content Models”) and mac...

In this paper, we propose a rule annotation method using RuleML in the Metadata Encoding and Transmission Standard, called METS. By putting rules into METS, the collection levels of digital contents can be set automatically, and their re-organization can be performed easily. Applying RuleML to the rule description is one of the promising methods for reorganizing digital contents dynamically wit...

We give an overview of current efforts to standardize e-business rules knowledge representation (KR) in XML as part of the Semantic Web. We focus especially on the design approach and criteria of RuleML, an emerging standard that we co-lead. We discuss the issues of standardization and Webizing which RuleML addresses. We extend, for the first time, RuleML’s definition from the ordinary logic pr...

Rule-Based Data Access (RBDA) enables automated reasoning over a knowledge base (KB) as a generalized global schema for the data in local (e.g., relational or graph) databases reachable through mappings. RBDA can semantically validate, enrich, and integrate heterogeneous data sources. This paper proposes an RBDA architecture layered on Datalog RuleML, and uses it for the ∆Forest case study on t...