Revealing the Semantic Association of Digital Literature Resources from Informetrics Perspective

  • Wang Feifei ,
  • Qiu Junping ,
  • Yu Fan ,
  • Zhao Rongying
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  • 1 School of Economics and Management, Beijing University of Technology, Beijing 100022;
    2 School of Information Management, Wuhan University, Wuhan 430072;
    3 Wuhan University Institute of Quality Development Strategy, Wuhan 430072;
    4 Research Center for China Science Evaluation, Wuhan University, Wuhan 430072

Received date: 2014-01-22

  Revised date: 2014-02-20

  Online published: 2014-04-05

Abstract

The resource semantization based on informetrics has been gradually sprung up and become the research hotspot in digital library field. The generation and diffusion of metric-semantic association involving metadata concepts and metrics-relations in digital resources are deeply revealed around three levels: publishing co-occurrence and coupling, citing co-occurrence and coupling, and publishing-citing co-occurrence. And a semantic network of digital literature resources composed of concepts and relations from metrics analysis is constructed, which possesses some common characteristics with ontology model, semantic networks, and social networks.

Cite this article

Wang Feifei , Qiu Junping , Yu Fan , Zhao Rongying . Revealing the Semantic Association of Digital Literature Resources from Informetrics Perspective[J]. Library and Information Service, 2014 , 58(07) : 12 -18,29 . DOI: 10.13266/j.issn.0252-3116.2014.07.002

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