图书情报知识 ›› 2014, Vol. 0 ›› Issue (6): 107-114.doi: 10.13366/j.dik.2014.06.107

• 知识、学习与管理 • 上一篇    下一篇

基于用户声誉的数字图书馆知识社区资源管理机制研究

洪亮,冉从敬,吴志强,彭海平   

  • 出版日期:2014-11-10 发布日期:2014-11-10

Research on Resource Management Mechanism Based on User Reputation in Knowledge Community of Digital Library

  • Online:2014-11-10 Published:2014-11-10

摘要:

数字图书馆知识社区中用户活动产生的海量资源需要进行有效管理,以实现知识重用,促进知识社区的发展。用户的声誉代表了其他用户对资源贡献者的认可,可以激励用户参与知识社区内的资源贡献与评价。因此,本文提出了一种基于用户声誉的数字图书馆知识社区资源管理机制。基于影响传播的声誉计算方法同时考虑了用户活动、用户的影响传播以及传播过程中的影响衰减,对知识社区中用户的声誉进行准确地计算。在此基础上,基于用户声誉的资源管理机制利用用户的群体智慧实现了资源去重、资源推荐以及资源淘汰。用户声誉提升了知识社区内资源的质量和用户活跃度,同时对资源的有效管理也促进了对用户在知识社区内声誉的正确评价。实验分析证明了本文提出的用户声誉计算方法和资源管理机制的有效性,为数字图书馆知识社区建设提出了一种新的方法和发展方向。

关键词: 声誉, 知识社区, 资源管理, 数字图书馆

Abstract:

It is necessary to effectively manage massive usergenerated resources in knowledge community of digital library, so as to achieve knowledge reuse and promote development of knowledge community. User reputation represents approval of resource contributor by other users, which can encourage users to participate in resource contribution and evaluation in knowledge community. Therefore, this paper proposes a user_reputation_based resource management mechanism in knowledge community of digital library. Reputation calculation method based on influence propagation accurately calculates user reputation in the knowledge community by considering user activities, users’ influence propagation and influence attenuation in the propagation process. Based on the method, user_reputation_based resource management mechanism utilizes collective intelligence of users to achieve duplicate resource removal, resource recommendation and elimination of resources. User reputation improves resource quality and user activeness in knowledge community. In the meantime, effective resource management promotes proper evaluation of user reputation in knowledge community. Experimental analysis proves the proposed user reputation calculation method and resource management mechanism is effective, which provides a new method and direction for the construction of knowledge community of digital library.

Key words: Reputation, Knowledge community, Resource management, Digital library