Ontology-Supported Web Recommender for Scholar Information

摘要：

In this quickly developed and shifting era of Internet, how to make use of webpage indexing structure or search engines which let information demanders fast and precisely search and extract out advantage information has become extremely important capability in users on the Web. This paper combined a data mining tool SPSS Clementine with the domain ontology to mine out usefully important information from huge datum, and then to employ Java to develop an information recommender for scholars--- OntoRecommender, in which can recommend suitably important information to scholars. The preliminary experiment outcomes proved the reliability and validation of the recommender achieving the regular-level outcomes of information recommendation, and accordingly proved the feasibility of the related techniques proposed in this paper.

作者: Sheng-Yuan Yang Chun-Liang Hsu

作者单位: Department of Computer and Communication Engineering, St. John’s University Department of Electrical Department of Electrical Engineering, St. John’s University

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）