Executable declarative business rules and their use in electronic commerce
Proceedings of the 2002 ACM symposium on Applied computing
Virtual teams: a review of current literature and directions for future research
ACM SIGMIS Database
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Towards an argument interchange format
The Knowledge Engineering Review
DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Deploying defeasible logic rule bases for the semantic web
Data & Knowledge Engineering
Are your rules online? four web rule essentials
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Development of a Logic Layer in the Semantic Web: Research Issues
SKG '10 Proceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids
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The Web-based intelligent decision support system(Web-IDSS) is pivotal for a Virtual Team (VT) to successfully execute business-related tasks. The current generation of Web-IDSS built on top of semantic web technologies for VTs lacks the capability to provide decision support when underlying information is incomplete and/or contradictory. In this article, we address this limitation of current Web-IDSS through defeasible logic based argumentation formalism. The proposed Web-IDSS uses a hybrid reasoning approach: forward chaining(data-driven) for the construction of arguments over incomplete information, and backward chaining (goal-driven) for conflict identification and resolution with explanation. The proposed Web-IDSS adheres to web standards and publishes the outcome of argumentative reasoning in Argument Interchange Format (AIF).