ISSN 1002-0314 CN 11-1448/G3
This paper uses Ucinet and VOSviewer and other tools, through informetrics analysis on the state - level of
the existing government data opening and sharing policy file on release time, file type, release department and content,
the authors draw the conclusion: although our departments have paid attention to the opening and sharing of govern?
ment data, they has not yet formed a unified national government data opening and sharing policy system. Departments
should strengthen cooperation, improve the efficiency of data communication, and improve the quality of government
data opening and sharing.
This paper analyzes the government cloud data center, the government data exchange and sharing platform,
the government data open platform and the government data integration service platform. Based on one center and three
platforms and from the perspective of government data storage, sharing, opening and service integration management,
this paper puts forward the idea of building an integrated platform for the opening, shared and service of government da?
ta which based on the government cloud data center, so as to realize the whole process management of government data
lifecycle.
The paper takes transport data on data.gov.uk as research object, investigates the construction status quo of
902 transport datasets from the perspective of publishers, themes, format, license and open level, grasps the application
of transport data in terms of API setting and APP development and analyzes the potential need based on the organiza?
tion type, data themes, reasons and outcomes of data requests. By summarizing the merits and demerits of the construc?
tion and opening of transport data on data.gov.uk, the paper will provide some significant inspiration for our government
to open the transport data so as to promote the process of smart transport.
This paper chose eight different evaluation systems, which were used more than once on assessing open gov?
ernment data, and compared these systems from four aspects: evaluation focus, structure and variables, object, and
methods of obtaining data. Based on the investigation, the author concluded that we should pay attention to the compre?
hensiveness of the evaluation system, the variety of obtaining evaluation data, and the control of the evaluation cycle.
In order to explore the academic events’information diffusion in social networks, this paper compared the
network structure differences between bloggers-friends and bloggers-recommenders in the ScienceNet blogs referring
to Tu’s winning Nobel Prize. Hyperlink analysis and social network analysis is used to analyze the structure characteris?
tics of social network and law of information diffusion from the perspective of basic link relation and co-link relation.
The conclusion shows that it’s more scientific to study the information diffusion of academic events by using bloggerrecommender
network, and the information spreads out from the corebloggers of the network while the information diffu?
sion process including four stages such as: burst period, spreading period, recurrence period and long tail period.
In this paper,using the analysis framework of“disciplinary basis point to theoretical basis to disciplinary be?
longing”, the author determines the disciplinary attribution of public security information science, and analyzes that it
will face what kind of“change”and“no change”under big data environment. Public security information science has
the characteristics of natural science and technological science, but still belongs to social science.Under big data envi?
ronment, the problems solving as the disciplinary basis points will be more complicated,the theoretical basis will be
richer, and the disciplinary belonging such as natural science, technological science will be further enhanced.At the
same time,public security information science should maintain its own disciplinary attribution, to avoid“data”instead
of“person”“, technology”instead of“intelligence”,an“d scientificity”instead of“sociality”.
This article samples overseas studies comparing GS and WoS’s performance in citation analysis from 2005
to 2016, and compares and contrasts these studies from eight dimensions: citation counts, H index, overlap/uniqueness,
recall ratio, language coverage, article type, inconsistent citation and correlation. For the same samples, the values of ci?
tation counts, H index, recall ratios, language coverage and document type are generally higher than that in WoS. How?
ever, GS’s data consistency is inferior to WoS. Based on those findings, it provides four suggestions for academic evalu?
ation system in China.
In this paper, five systems are researched by means of network survey and comparative analysis, including
re3data.org, OAD, OpenAIRE, OpenDOAR and ROAR. The existing registry of research data repositories are summa?
rized from the aspects of resource collection, retrieval function, service, software application and so on. It then analyzes
the status quo of the research data repository registry. The study found that the research data repositories are showing a
rapid upward trend. The five systems have their own characteristics. The European, Germany, the United Kingdom and
American’s research data repository registry system developed rapidly, and have formed a certain scale.
This paper designs a tag classification approach which combines thesaurus with syntax rule, improving the
effectiveness of tag classification.Firstly, the authors divide the tags into 3 types: factual, subjective and personal. Sec?
ondly, the authors construct a thesaurus based on metadata which can be fetched from online wiki and social tagging
system, and design identification rules based on the tags’syntactic structure in user generated content, as well as com?
bine two methods to classify the tag.The authors conduct an experiment based on 675351 Douban Movie users’social
tagging. The results show that the recall is 95.01%, the precision is 96.19%, and the F1-measure is 95.32%. Experi?
ment result shows that the method can solve the problem of tag classification well.
This article uses the SOR (Stimulus-Organism-Response) behavioral patterns, builds a net-celebrity infor?
mation dissemination influence factor model from three aspects of information content, information source and percep?
tions. Through online surveys, the authors collected 284 valid questionnaires for data analysis. Research results show
that users spread decision-making process is mainly influenced by perceptions of usefulness and trust; stronger emo?
tional attributes information can stimulate the user usefulness perception, information quality and recognition of infor?
mation source from other users can enhance trust perception,indirectly facilitating information dissemination behavior.
This paper proposes a synergetic framework for agricultural information resources through the way of " Cur?
rent Situation-Synergy-Order",based on the concept of information system from disorder to order under the synergetic
perspective, and on the basis of fully understanding the present situation of agricultural information resource construc?
tion in China.The paper expounds two main components of the synergetic path of agricultural information resources:the
synergetic architecture and the synergy level,and the comprehensive and multi-level in-depth analysis are carried out.
Combined with interaction as an important attribute of cyberspace and context as an important dimension of
user interaction perception and from the perspective of balance, this paper analyzes the interaction process and attri?
bute characteristics between user and digital library micro-service context, and proposes the main factors influencing
the interaction balance between them, and then dissects the interaction balance mechanism between them. Finally the
realizations of interaction balance between the user and the mobile context; there source context and the service context
are put forward as well.
Using both literature review method and comparative analysis, this paper comprehensively clarifies the rela?
tionship between health information and online Q&A, and then elaborates the general rule of health information move?
ment, namely, the cyclic motion of five elements (i.e., seeking, enquiring, disabusing, implementing, and sharing).
Based on these analysis, the authors systematically present the research focuses, research status and research methods
for each of those five elements. This paper aims to summarize the current achievements in academia and industry at a
macro level, expecting to provide helpful guidance or reference for the relevant practice of intelligent healthcare.
Based on review and literature survey, the paper compared the difference among academic research, infor?
mation supporting and resource construction between China and USA think tanks, further pointed out the quality of
think tank research lied on ideology and study level, and high-level study of think tank certainly depend on 2 aspects:
topical research resources and interdisciplinary study.
Aimed at the problem of the homogeneity and the similarity of the subject in the development of the academ?
ic journal, this paper proposed a method to measure the homogeneity which is based on deep learning. The model ex?
pands research from the two sides, one is the whole topic distribution and the other is similarity between the single pa?
per which is based on semantic and feature. Then carried out an empirical research, the result shows that the model is
valid in measuring the academic journal similarity and the two methods are supplements for each other.
