Ontology Based Scientific Keywords Recommendation System under Web 2.0

Na Xue, Su ling Jia, Jin xing Hao, Qiang Wang


As the born and communication base of new science and new technology, scientific research requires effective information integration and knowledge management to improve the efficiency of scientific research. The growth of e-science in circumstance of Web 2.0 has created a need to integrate large quantities of diverse and heterogeneous data. To tackle with the scientific information management problems, we proposed an ontology-based scientific keywords recommendation system under web 2.0. The main goal achieved is to extract the meaningful information and recommend to web scholars through the proposed system. The components of the system are Integration Interface, Service Module, Text Processor, Recommendation Module and Ontology Database. Experimental results and performance evaluation shows that the proposed system provides the effective way to recommend semantic related keywords for scholars.

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Copyright (c) 2017 Na Xue, Su ling Jia, Jin xing Hao, Qiang Wang

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
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