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.

Ontology-driven collaborative annotation in shared workspaces

“…Recently, many approaches have tried to enhance tagging systems with semantic capabilities (e.g., [25]). For example, in [26] tags refer to a formal semantic knowledge representation, constraining -and at the same time empowering -the annotation.…”

Shared and Personal Views on Collaborative Semantic Tables

“…In these systems, resources can be tagged with metadata representing different aspects (facets), leading to the creation of bottom-up classifications, collaboratively and incrementally built by users, usually called folksonomies [10]. Interesting improvements of tagging systems have been designed by endowing them with semantic capabilities (e.g., [11]), in particular in the perspective of knowledge management [12].…”

A Semantic Framework to Enrich Collaborative Tables with Domain Knowledge

“…Interesting improvements of such tagging systems have been developed by endowing them with semantic capabilities  e.g., (Abel et al, 2010)  in particular in the perspective of knowledge workers (Kim et al, 2009). With respect to these systems, DSemT++ has a slightly different focus, since it supports collaboration within (small) groups of people working together, instead of mass social communities.…”