Component-based software engineering: putting the pieces together
Component-based software engineering: putting the pieces together
IEEE Intelligent Systems
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
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Pervasive and Mobile Computing
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Journal of Ambient Intelligence and Smart Environments
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Journal of Ambient Intelligence and Smart Environments
Design principles of the component-based robot software framework Fawkes
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Journal of Ambient Intelligence and Smart Environments
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Journal of Ambient Intelligence and Smart Environments
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IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
Knowledge-enabled decision making for robotic system utilizing ambient service components
Journal of Ambient Intelligence and Smart Environments - Ambient and Smart Component Technologies for Human Centric Computing
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Combing ambient intelligence with service robots has shown great potentials in generating radically new system architecture, namely Component-Based Robotic System CBRS. In order to enable robot to automatically and flexibly utilize service resources in intelligent environment, a novel semantic-quantitative hierarchical service composition method is proposed for supporting complex task accomplishment. A service model with two-layered structure is put forward which incorporates ontology-based service functionality abstraction and state information of individual service resources. A set of unified semantic matching rules are established, based on which a bidirectional breadth-first traversal search algorithm inspired by the maze problem is proposed, which is capable of reliably and dynamically generating plans according to the task requirement. Applications in domestic service robot scenarios are described and experimental results validate the effectiveness of the proposed method.