Semantic Based Resource Retrieval Algorithm for Networked Manufacturing

In view that current resource retrieval algorithm for networked manufacturing is insufficient; the thesis proposes a structural model based on ontology for networked manufacturing resources and tasks. The structural model not only provides foundation for modeling of resources and tasks in networked manufacturing, and solves the problem that semantic information in resource retrieving for networked manufacturing is insufficient. The thesis also establishes semantic based resource retrieval algorithm for networked manufacturing. The algorithm synthesizes such information as service type, semantic similarity, input or output parameters and QoS restraints. The algorithm validity is confirmed in prototype system of networked manufacturing resources integrated platform.