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Semantically Linking Information Resources for Web-Based Sharing

Author

Listed:
  • Junsheng Zhang

    (IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China)

  • Yingfan Gao

    (IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China)

  • Yanqing He

    (IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China)

  • Hongjiao Xu

    (IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China)

  • Chongde Shi

    (IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China)

  • Peng Qu

    (IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China)

Abstract

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.

Suggested Citation

  • Junsheng Zhang & Yingfan Gao & Yanqing He & Hongjiao Xu & Chongde Shi & Peng Qu, 2013. "Semantically Linking Information Resources for Web-Based Sharing," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 7(2), pages 65-79, April.
    • Handle: RePEc:igg:jcini0:v:7:y:2013:i:2:p:65-79
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    Cited by:

    1. Zhang, Junsheng & Sun, Yunchuan & Jara, Antonio J., 2015. "Towards semantically linked multilingual corpus," International Journal of Information Management, Elsevier, vol. 35(3), pages 387-395.

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