Page 240 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2015 Vol. 41
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Extended English abstracts of articles published in the Chinese Edition of Journal of Library Science in China 2015 Vol.41  239


               information of basic data, but also involves the external information, such as authors, journals and
               content of articles. Therefore, the citation network not only can be predicted based on the local
               structure information, but also by the external information, or by the integration of structural and
               external information to perform machine learning to improve the accuracy of link prediction.
               The bipartite network is a special kind of homogeneous network, which can be used to observe
               structural characteristics and evolution process between subject and object. Using link prediction
               in bipartite network can solve some problems of recommendation systems. For the link prediction
               of heterogeneous network, this paper reviews on some link prediction methods, such as forecasting
               model based on meta-path.
                 This paper finds out that link prediction of knowledge network in Library and Information
               Science has become a hot issue in recent years. Most of current studies are empirical studies
               describing the prediction effect in different types of knowledge networks based on a variety of
               predictors in order to determine the application scope of link prediction. This paper proposes that
               in future research, the link prediction should be used to quantify and evaluate the evolution models,
               to identify and analyze anomalous links, and to discover knowledge hot spots and innovation
               trends. Ten years of development shows that knowledge network can be used as an ideal carrier for
               link prediction, and link prediction is a powerful tool for analyzing knowledge network. On this
               basis, carrying out applied research from link prediction perspective based on the structure and
               evolution of knowledge network will be the future research direction of knowledge network in the
               field of Library and Information Science.




               Review of trusted certification research on digital preservation
               Zhenxin WU 1 ∗


               This paper reviews the development of research on certification of trustworthy digital preservation
               in the past 20 years, discusses the meaning of trustworthiness, analyzes the composition of
               trustworthiness, and identifies the primary elements of certification, provides references for the
               upcoming Chinese national digital preservation system.
                 The author summarizes the development of the main criteria, methods and projects in
               chronological order, and analyzes the direct or indirect influence with each other. Furthermore,
               the author analyzes and compares the criterion items of three typical certification standards in
               detail, namely DSA evaluation guide, ISO 16363, the Nestor Catalogue of Criteria, and finally puts
               forward a framework of the primary certification elements.
                 The research shows that OAIS has also become an important reference standard for
               trustworthiness certification as the basic standard of long-term preservation activities. And OAIS

               * Correspondence should be addressed to Zhenxin WU, Email: wuzx@mail.las.ac.cn, ORCID: 0000-0003-4966-1961
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