Journal of Resources and Ecology ›› 2018, Vol. 9 ›› Issue (2): 218-226.DOI: 10.5814/j.issn.1674-764x.2018.02.012

• Big Data and Knowledge Sharing • Previous Articles    

The Research and Practice of Professional Knowledge Sharing and Service: A Case Study of the Geography, Resources,and Ecology Knowledge Service System

CHEN Zugang1,2,3, SUN Jiulin1,2, YANG Yaping1,2,4,*   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing 100101, China;
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2017-10-23 Revised:2017-12-28 Online:2018-03-30 Published:2018-03-30
  • Contact: * YANG Yaping, E-mail: yangyp@igsnrr.ac.cn
  • Supported by:
    Branch Center Project of Geography, Resources, and Ecology of Knowledge Center for Chinese Engineering Sciences and Technology ( CKCEST-2017-1-8), and the National Earth System Science Data Sharing Infrastructure (2005DKA32300).

Abstract: Knowledge Sharing and Service is one effective way to eliminate knowledge poverty and promote social development. Existing knowledge sharing and service is mainly provided in some organizations or specific social groups. Besides, a knowledge sharing and service system about geography, natural resources and ecology has not been reported. We proposed a public welfare professional knowledge-sharing and service platform for all members of society in geography, natural resources and ecology. The construction of a knowledge-sharing and service platform is based on five aspects of work: analysis of user requirements, setting standards and drafting policies, aggregating knowledge resources, the technical realization and the maintenance of service. Knowledge resources can be aggregated by using a “two-step” strategy. A knowledge-sharing and service system can be implemented by using “four-tier” structures that are comprised of resources, resource access, application and service, based on the Hadoop-distributed cluster architecture. It has been proven that adhering to the idea of co-building and co-sharing, and using the mechanism of “payment is equal to benefit” can effectively promote the gathering of knowledge resources, and arouse the enthusiasm of all members of society to participate in knowledge sharing and service, to achieve the objective of narrowing the knowledge gap between social groups.

Key words: architecture design, geography, knowledge service, knowledge sharing, resource aggregation, resources, and ecology