This paper aims to identify and cluster the Personal Knowledge Management (PKM) systems. To achieve this objective, survey research method was used. In the first phase, 47 systems were identified based on the literature. Then, in the second phase, thirty intentionally selected experts from computer science and information and knowledge science clustered the identified systems in to seven clusters including knowledge retrieving, knowledge evaluating, knowledge originating, knowledge analyzing, knowledge collaborating, knowledge presenting and knowledge securing. Also, these systems are clustered by experts due to the three private, public and interactive domains.
Sharif,A. and Hosseingholizadeh,R. (2016). Identifying and clustering the Personal Knowledge Management (PKM) systems. Iranian Journal of Information Processing and Management, 31(4), 1009-1029. doi: 10.35050/JIPM010.2016.001
MLA
Sharif,A. , and Hosseingholizadeh,R. . "Identifying and clustering the Personal Knowledge Management (PKM) systems", Iranian Journal of Information Processing and Management, 31, 4, 2016, 1009-1029. doi: 10.35050/JIPM010.2016.001
HARVARD
Sharif A., Hosseingholizadeh R. (2016). 'Identifying and clustering the Personal Knowledge Management (PKM) systems', Iranian Journal of Information Processing and Management, 31(4), pp. 1009-1029. doi: 10.35050/JIPM010.2016.001
CHICAGO
A. Sharif and R. Hosseingholizadeh, "Identifying and clustering the Personal Knowledge Management (PKM) systems," Iranian Journal of Information Processing and Management, 31 4 (2016): 1009-1029, doi: 10.35050/JIPM010.2016.001
VANCOUVER
Sharif A., Hosseingholizadeh R. Identifying and clustering the Personal Knowledge Management (PKM) systems. Iranian Journal of Information Processing and Management, 2016; 31(4): 1009-1029. doi: 10.35050/JIPM010.2016.001
