Abstract
With the rapid development of information technology, many kinds of personalized information services have come forward. A key issue is how to represent knowledge effectively, which has a great impact on the personalized service quality. Existing approaches seem to lack the cognition characteristics, which makes information services unable to meet the users’ current cognition level. This paper proposes a novel approach of domain knowledge representation based on the specific academic application background, which shows not only the academic concepts in a specific research filed, but also the logic relation between them. It makes the knowledge representation contains abundant semantics. And we propose the concept cognition energy to evaluate the contribution and value of concept to the specific academic domain, which enhances concept’s domain correlation. Furthermore, the approach presents a hierarchical structure according to the concepts’ profession degree in the field, which ensures the knowledge representation to have the characteristic of cognition. Experimental results demonstrate the effectiveness of the method.
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Acknowledgements
This work is supported by National Key Research and Development Plan (No. 2016YFC1401902) and Shanghai Natural Science Foundation (No. 12zr1411000).
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Yu, J., Tao, C., Xu, L., Liu, F. (2018). A Novel Representation of Academic Field Knowledge. In: Abawajy, J., Choo, KK., Islam, R. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence. ATCI 2017. Advances in Intelligent Systems and Computing, vol 580. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-67071-3_15
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DOI: https://doi.org/10.1007/978-3-319-67071-3_15
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