Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Proceedings of the 2005 ACM symposium on Applied computing
Multiagent resource allocation
The Knowledge Engineering Review
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Goal-Driven Semantic Description and Query for Grid Workflow
SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
The architecture and design of a malleable object-oriented prolog engine
Proceedings of the 2008 ACM symposium on Applied computing
Reasoning support for flexible task resourcing
Expert Systems with Applications: An International Journal
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In many applications, tasks can be delegated to intelligent agents. In order to carry out a task, an agent should reason about what types of resources the task requires. However, determining the right resource types requires extensive expertise and domain knowledge. In this paper, we propose means to automate the selection of resource types that are required to fulfil tasks. Our approach combines ontological reasoning and logic programming for a flexible matchmaking of resources to tasks. Using the proposed approach, intelligent agents can autonomously reason about the resources and tasks in various real-life settings. Using a case-study, we describe and evaluate how agents can use the proposed approach to promote resource sharing. Our evaluations show that the proposed approach is efficien and very useful for multi-agent systems.