Page 179 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 43

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Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2017 Vol.43 179

Probing multivariate indicators for academic evaluation

Helen F. Xue, Loet Leydesdorff & Fred Y. Ye〇
〇a*
Since Garfield introduced the journal impact factor (JIF)and set up citation analysis, some
scientometric indicators have been applied to academic evaluations. Then Hirsch proposed
the h-index, which was rapidly accepted by the scientific community. This promoted the
development of quantitative academic indicators. However, both JIF and h-index have their
advantages and disadvantages. The Integrated Impact Indicator (I3)and the h-index can be
combined into the I3-type framework, yielding the publication vector X=(X1, X2, X3)and the
citation vector Y=(Y1, Y2, Y3), the publication score I3X=X1+X2+X3 and the citation score
I3Y=Y1+Y2+Y3, and alternative indicators, which could be developed to extend academic
evaluation.
The vector X and the score I3X represent the relative frequencies of the publications, while the
vector Y and the score I3Y denote the relative frequencies of the citations. The h-based I3-type
multivariate indicators provide multidimensional indicators: X1 measures publication score in the
h-core (X1 and Y1 combination may measure core impact power); X2 measures publication score
in h-tail; Yh=Y1+Y3 measures citation score in h-core; Y2 measures citation score in h-tail; I3X
does total publication score, and I3Y does total citation score.
The empirical studies reveal that the h-core distribution is suitable to evaluate scholars, and
the X1 and Y1 are applied to measure core impact power of universities, and I3X and I3Y are
alternatives of journal impact factor (JIF). The multivariate indicators provide a multidimensional
view of academic evaluation with using the advantages of both the h-index and I3.
The publication vector X=(X1, X2, X3)and the citation vector Y=(Y1, Y2, Y3)with their
elements, as well as the publication score I3X=X1+X2+X3 and the citation score I3Y=Y1+Y2+Y3,
contribute multivariate indicators for academic evaluation.

Research on the meta-data schema for fine-grained aggregation units of
internet resources
〇b**
CAO Shujin, LI Jiena & WANG Zhihong〇
In the big data era, the Internet is increasingly indispensable for people to access academic or work
related information. However, facing with decentralized distribution of Internet resources and
lacking of in-depth description and correlation of their contents and relationships, people have to
spend massive time to look through the whole search results returned and assemble the relevant
information from different sources. Therefore, this paper aims to develop a meta-data schema

* Correspondence should be addressed to Fred Y. Ye, Email: yye@nju.edu.cn, ORCID: 0000-0001-9426-934X
** Correspondence should be addressed to WANG Zhihong, Email: wangzh629@163.com, ORCID: 0000-0003-0651-0901