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15 March 2018, Volume 4 Issue 2

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TOPIC：SELF-GOVERNING OPENNESS OF DATA

Self-governing openness of data

Yangyong ZHU, Yun XIONG, Zhicheng LIAO, Yazhen YE

2018, 4(2):  3-13.  doi:10.11959/j.issn.2096-0271.2018013

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Existing data management techniques and their drawbacks were introduced.A novel model called self-governing openness of data was presented,and the details in using the technique were also illustrated.Self-governing openness of data would be a basic path for realizing the openness of data.Meanwhile,it should be an applicable approach for the openness and sharing of government data,the transaction of enterprise and personal data,and the realization of national data sovereignty.

General design of self-governing openness of data and the exploring of the new mode of governance

Yi SHEN, Xu YAO, Yangyong ZHU

2018, 4(2):  14-20.  doi:10.11959/j.issn.2096-0271.2018014

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In today’s world,the governance of the government becomes more and more dependent on the effective use and management of data resources,and building of data sharing mechanism is the most difficult challenges.To solve the challenge,the concept of self-governing openness of data autonomy was proposed,and the possibility of allowing the relevant departments of the government independently promoting the open sharing of data resources after clearly defining the ownership and necessary use-maintenance costs of the data resources was explored.From the existing practice and international comparative experience,the construction of an open government based on self-governing openness of data autonomy may become a practical path adapted to Chinese characteristics.It not only serves China’s reform and open up,but also can make corresponding important contribution to the world.

Data box:a novel data model for self-governing openness of data

Yun XIONG, Yangyong ZHU

2018, 4(2):  21-30.  doi:10.11959/j.issn.2096-0271.2018015

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Self-governing openness of data makes that users can download or upload data to their applications to use data.However,there exist two key issues.Firstly,how to know the contents of the data.Secondly,how to organize data to fit the users’ applications feasibly and manage data conveniently.A novel data model namely data box was presented,the elements of data box and operating system structure were introduced,and the implementation of the data model was illustrated.

Software development and runtime environment for self-governing openness of data

Yijian WU, Shizhuang CHEN, Jiali GE, Wenyun ZHAO

2018, 4(2):  31-41.  doi:10.11959/j.issn.2096-0271.2018016

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Self-governing openness of data is a new form of the openness of data,which enables protecting interests of data owners.Self-governing openness of data requires full supports of software development and runtime environment in the fields of requirements description,development and debugging,and monitoring applications execution.An overall design of the software development and runtime environment for self-governed openness of data was presented,and the whole application development process for self-governing openness of data that supports software behavior monitoring and control was illustrated.Full life-cycle management of data in self-governing openness of data was enabled and the feasibility of the software development and runtime infrastructure for self-governing openness of data was shown.

Privacy preservation in self-governing openness of data

Zhihui WANG, Xuchen ZHOU, Yun ZHU

2018, 4(2):  42-49.  doi:10.11959/j.issn.2096-0271.2018017

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The openness of data is very important for improving the application value of data resource.However,due to the consideration of privacy preservation,data should be open under supervision.That is,data should be in the mode of selfgoverning openness.For challenges that self-governing openness of data may bring,a possible system framework for the privacy preservation of a data box was presented.The system framework carries out the privacy disclosure risk evaluation for the data usage declaration of a data user,and then determines whether the corresponding data usage request can be authorized or not on the basis of evaluation results,and thus supports the implementation of self-governing openness of data.

Challenge of encryption technology for self-governing openness of data

Lin HUANG, Yuan LI, Xingchen WANG, Yunlei ZHAO

2018, 4(2):  50-62.  doi:10.11959/j.issn.2096-0271.2018018

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Data box is the basic data unit opened to the data users in self-governing openness of data,so the prevention for the degradation of data scarcity and the disclosure of privacy is mainly aimed at the data box.A data box may contain photos,videos,text and structured data,etc.The traditional data encryption technology cannot be effectively applied.The requirement of data encryption for data box and the challenges of traditional data encryption technologies were analyzed,and the prospect of new encryption technologies for self-governing openness of data was discussed.

Platform design and practice for self-governing openness of data application

Dehua CHEN, Qiao PAN, Mei WANG, Jiajin LE

2018, 4(2):  63-71.  doi:10.11959/j.issn.2096-0271.2018019

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Asystemic solution for the application construction of self-governing openness of data based on the new data management pattern of self-governing openness of data was proposed.The whole framework,system functions and interfaces of the solution were provided.Then the key points about logical data organization,security requirements description and query requirements description technologies were designed and investigated for the data provider and data consumer,respectively.Finally,self-governing openness of data practices in the field of medical was discussed,and the framework of tiered diagnosis and treatment system application by using the proposed technologies was given.

APPLICATION

Intelligent recommendation of meteorological service based on association rules

Wenfang ZHAO, Yanan LIU, Dongchang YU

2018, 4(2):  72-85.  doi:10.11959/j.issn.2096-0271.2018020

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To overcome the problem in which public meteorological services are rarely optimized for personalization,a recommendation method incorporating improved association rules and collaborative filtering was presented.First,FPGrowth algorithm was applied on pre-processed Web log data to generate association rules.Meanwhile,a customized collaborative filtering algorithm was used to calculate pairwise similarities between meteorological products based on users' browsing records.A total of five experiments were conducted.The experimental results show that the rules are relatively accurate for precipitation and haze weather,because pairwise similarities between meteorological products which are calculated by the proposed algorithm could reduce the total number of invalid or irrelevant association rules by 10%.

FORUM

State of the art and future research on distributed processing system in Internet environment

Pengwei MA, Kai WEI, Chunyu JIANG

2018, 4(2):  86-94.  doi:10.11959/j.issn.2096-0271.2018021

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Due to the gradual failure of Moore’s law,traditional centralized data processing systems begin to show performance bottlenecks,which can’t effectively support the rapid development of current business.At the same time,due to the security,cost,policy and other reasons,the transformation of the original centralized data processing system into a distributed data processing system has become the only way.The significance,present situation and prospect of distributed transaction data processing system from its development background,advantages and challenges,technical characteristics,application points,future development direction were introduced.A theoretical basis and guidance for the application and development of distributed transaction data processing system was provided.

COLUMN：NATIONAL ENGINEERING LABORATORY FOR BIG DATA

Perspective on big data system computing technology

Haitao WANG, Rui MAO, Zhong MING

2018, 4(2):  97-104.  doi:10.11959/j.issn.2096-0271.2018022

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The state of the art of big data system computing technology was elaborated and the big data system computing innovation platform at the National Engineering Laboratory for Big Data System Computing Technology was introduced.The platform strives to develop China-made general-purpose big data computing system,to conquer common problems in high performance big data computing,and to develop applications.The construction of the platform will boost national big data innovation capability,fulfill the demand of big data technology and application in China,promote the big data industry,and help the construction of big data “double-innovation” eco-system.

COLUMN：2017 TOP 10 PRACTICES OF BIG DATA APPLICATION

Typical application in financial industry of big data platform

Shengmei LUO, Chen QI, Min WANG, Yuwen YE

2018, 4(2):  107-114.  doi:10.11959/j.issn.2096-0271.2018023

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Financial industry increasingly needs big data technology to support digital transformation,but the complex architecture,rapid change,weak management of big datasystem are becoming the bottleneck.The financial industry problems of data processing,and analysis system architecture,technical difficulties and main characteristics of the commercial big data platform Golden Data HD which based on the open source technology,with the development of banking business needs,were expounded.Using the specific application cases,the application effect of the Golden Data HD was shown.The platform can effectively enhance the data storage,query processing and application of business innovation,and provide strong support for the digital transformation of the financial industry in the era of big data.

Automatic identification technology for spam message

Huasheng LIN, Ling QIAN, Ying ZHOU, Xi YANG, Jing LI

2018, 4(2):  115-120.  doi:10.11959/j.issn.2096-0271.2018024

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In recent years,the problem of spam messages is endless,which seriously infringes on the communication rights and interests of the majority of users.The management challenges facing the spam messages,the exisiting problems and the respording solutions were analyzed in detail.Based on the use of artificial intelligence methods and big data,an automatic identification system with fingerprint algorithm of spam messages was designed.The architecture,workflow and key technoligies of the system were elaborated.And the system can deal with spam messages effectively.