Personal knowledge management for knowledge workers using social semantic technologies

International Journal of Intelligent Information and Database Systems 01/2009; 3(1):28-43. DOI: 10.1504/IJIIDS.2009.023036
Source: DBLP


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.

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Available from: Haklae Kim, Apr 16, 2014
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    • "Personal knowledge management provides personal knowledge resources which are built in collaboration and contribution of every knowledge worker (Kim et al, 2009). Organizations perceive the knowledge management as one of the tool in the business strategy through the development of knowledge-based communities. "
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