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.

No abstract

Purpose-The purpose of this research is to investigate some general features of folksonomies and user-generated content with copyright issues, and to present semantic representation for folksonomies using a tag ontology that can be used to represent tagging data at a semantic level using Semantic Web technologies. Design/methodology/approach-An exploratory study is described that features current social tagging methods and copyright metadata. In particular, a tag ontology is extended for representing copyright metadata across different platforms. Findings-The main finding is that Social Semantic Cloud of Tags can improve the expressive knowledge representation of folksonomies and that this ontology can aid in describing copyright metadata using some extended properties. Originality/value-The paper gives a valuable insight into representing folksonomies with Semantic Web technologies that enable the representation, exchange, and reuse of tagging data, and provides a way to reduce the risk of copyright infringements in the process of tag sharing in folksonomies.