Knowledge base cloud – a new approach to knowledge management systems architecture

This article aims at identifying the limitations of current approaches to knowledge management systems architecture creation and proposing innovative solutions on handling with the emerging issues of the existing methodologies. These findings should encourage the more effective handling with the created knowledge and initiate new knowledge creation with the support of the intelligent tools and systems forming the knowledge management cloud. The authors have proposed a new approach to the knowledge management systems architecture. This principle named knowledge management cloud is defined in the article including its typical characteristics and basic compounds. Finally the knowledge management cloud implementation model is introduced to help the companies with adopting this new principle into their information systems architecture and management.

[1]  Roberto Di Pietro,et al.  Secure virtualization for cloud computing , 2011, J. Netw. Comput. Appl..

[2]  Hua Jiang,et al.  Research on Knowledge Management System in Enterprise , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[3]  A. Hafez,et al.  Integrated Knowledge Management System (IKMS) , 2008, 2008 IEEE Conference on Technologies for Homeland Security.

[4]  Xiaomi An,et al.  The Integrated Use of Business Continuity Management Systems, Records Management Systems and Knowledge Management Systems , 2010, 2010 International Conference on Management and Service Science.

[5]  Norman W. Paton,et al.  The design and implementation of OGSA-DQP: A service-based distributed query processor , 2009, Future Gener. Comput. Syst..

[6]  Douglas Stott Parker,et al.  Map-reduce-merge: simplified relational data processing on large clusters , 2007, SIGMOD '07.

[7]  W PatonNorman,et al.  The design and implementation of OGSA-DQP , 2009 .

[8]  Rajiv Sabherwal,et al.  Knowledge Management: Systems and Processes , 2010 .

[9]  Odej Kao,et al.  Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud , 2011, IEEE Transactions on Parallel and Distributed Systems.

[10]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[11]  Ronald Maier,et al.  Knowledge management systems - information and communication technologies for knowledge management (3. ed.) , 2007 .

[12]  M. Mikušová.  KNOWLEDGE IN ENTERPRISE: THE ROLE AND PERFORMANCE MEASUREMENT , 2008 .

[13]  Brent B. Allred,et al.  Enabling Knowledge Creation: How to unlock the Mystery of Tacit Knowledge and Release the Power of Innovation , 2001 .

[14]  Rosina O. Weber,et al.  Designing Multifunctional Knowledge Management Systems , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[15]  Gang Chen,et al.  Optimization of sub-query processing in distributed data integration systems , 2011, J. Netw. Comput. Appl..

[16]  Tsutomu Fujinami,et al.  A Knowledge Management System for Dynamic Organizational Knowledge Circulation , 2007, Int. J. Inf. Technol. Decis. Mak..

[17]  Jeffrey M. Voas,et al.  What's in a Name? Distinguishing between SaaS and SOA , 2008, IT Professional.

[18]  Yuan Yu,et al.  Dryad: distributed data-parallel programs from sequential building blocks , 2007, EuroSys '07.

[19]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[20]  Kimiz Dalkir,et al.  Knowledge Management in Theory and Practice , 2005 .

[21]  Thomas Sandholm,et al.  What's inside the Cloud? An architectural map of the Cloud landscape , 2009, 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing.

[22]  Fengxiang Cao,et al.  Web Knowledge Management System Based on User Model , 2009, 2009 WASE International Conference on Information Engineering.