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As a new service-oriented manufacturing paradigm, cloud manufacturing has experienced rapid development in the last few years. It is changing the way manufacturing enterprises organize production activities in that tangible and intangible manufacturing resources encapsulated as virtualized cloud services are provided to customers. However, customers do not know the details of manufacturing service...
A variety of ontologies is used to define and represent knowledge in many domains. Many ontological approaches have been successfully applied in the field of Requirements Engineering. In order to successfully harness the disparate ontologies, researchers have focused on various ontology merging techniques. However, no serious attempts have been made in the area of Requirements Elicitation where ontology...
Ontology database is a most comprehensive data base application that collects the related information from multiple data sources about any topic. Allowing multiple data sources into the database involves collection of irrelevant and redundant data. It leads to high memory utilization and more processing time. The user may be able to access the relevant data using appropriate software tools. In this...
Military operational C2 (command & control) requires dynamically focalized information for support. Internet search engines do not meet such requirement, as they don't care who is making what decision, and needs what information for support. It is found that commanders of same type, executing similar tasks, have similar information requirements. By this idea, a knowledge based method is proposed...
This paper proposed an automated method for ontology construction. The techniques used include machine learning and NLP (Natural Language Processing). These techniques are used to construct more accurate ontologies that represented as XML format. Firstly, Naïve Bayes classification algorithms is used to text categorization which determined what kind of label a document is assigned. Secondly, SVM algorithm...
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