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Research on High-Tech Transfer Monitoring Ontology
Abstract:
Sustainable development is a meaningful indicator for high-tech transfer. High-tech transfer monitoring is an effectual measure for high-tech transfer evaluation. This paper takes high-tech transfer projects as a data source, considers the key words and new words extracted by NLPIR from the projects, and proposes a high-tech word similarity calculating method based on morphological similarity, word length similarity and individual character similarity. Applied this method onto high-tech word similarity measurement, and acquires high-tech word similarity matrixes. Cluster based on this high-tech word similarity matrix. Construct high-tech ontology, according to cluster result. Extract the corresponding high-tech monitoring indicators and values of high-tech ontology through Regex. Finally construct high-tech transfer monitoring ontology, and monitor the sustainable development of high-tech transfer. Formulating high-tech word similarity computing software achieves high-tech word similarity computer measurement and verifies the feasibility and accuracy of this computing model.
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Pages:
4646-4652
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Online since:
March 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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