Paper Info
Title
Personal knowledge management for knowledge workers using social semantic technologies
Abstract
Knowledge workers have different applications and resources in heterogeneous environments for doing their knowledge tasks and they often need to solve a problem through combining several resources. Typical personal knowledge management (PKM) systems do not provide effective ways for representing knowledge worker's unstructured knowledge or idea. In order to provide better knowledge activity for them, we implement Wiki-based social Network Thin client (WANT) that is a wiki-based semantic tagging system for collaborative and communicative knowledge creation and maintenance for a knowledge worker. And also, we suggest the social semantic cloud of tags (SCOT) ontology to represent tag data at a semantic level and combine this ontology in WANT. WANT supports a wide scope of social activities through online mash-up services and interlink resources with desktop and web environments. Our approach provides basic functionalities such as creating, organising and searching knowledge at individual level, as well as enhances social connections among knowledge workers based on their activities.
Year
DOI
Venue
2009
10.1504/IJIIDS.2009.023036
IJIIDS
Keywords
DocType
Volume
semantic web,semantic wiki,personal knowledge management,pkm,folksonomy,social tagging.
Journal
3
Issue
Citations 
PageRank 
1
4
0.47
References 
Authors
9
5
Name
Order
Citations
PageRank
Hak Lae Kim1928.98
John G. Breslin21009104.34
Stefan Decker35799643.68
Jaehwa Choi440.81
Hong-Gee Kim510418.80