Semantically Linking Information Resources for Web-Based Sharing

被引:1
|
作者
Zhang, Junsheng [1 ]
Gao, Yingfan [1 ]
He, Yanqing [1 ]
Xu, Hongjiao [1 ]
Shi, Chongde [1 ]
Qu, Peng [1 ]
机构
[1] Inst Sci & Tech Informat China, IT Support Ctr, Beijing, Peoples R China
关键词
Digital Information Resources; Information Sharing; Relationship; Semantic Link Network; Web Information Resource;
D O I
10.4018/ijcini.2013040105
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Digital information resources on the web have been playing an important role during the information and knowledge propagation. Advanced applications such as intelligent information retrieval and information recommendation need the semantic relations among the digital information resources. Massive hyperlinks have existed in the current web; however, the semantic relations among the information resources are implicit or missing, and this has hindered the efficiency and effect of information sharing and information reuse, so it is necessary to evolve the hyperlinks to semantic links for enhancing the semantic connections between information resources on the web. Implicit and missing semantic links among the digital information resources are needed by the intelligent applications. In this paper, the authors propose an approach to enhance the semantic associations among digital information resources for realizing a semantic linked web. Applications based on semantic links are discussed and compared with applications on the current web. The semantic linked web can be regarded as a promising stage in the way to the semantic web.
引用
收藏
页码:65 / 79
页数:15
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