Media Centric Knowledge Sharing on the Web 2.0

Media Centric Knowledge Sharing on the Web 2.0

Marc Spaniol (Max Planck Institute for Computer Science, Germany), Ralf Klamma (RWTH Aachen University, Germany) and Yiwei Cao (RWTH Aachen University, Germany)
Copyright: © 2009 |Pages: 15
DOI: 10.4018/978-1-59904-976-2.ch004

Abstract

The success of knowledge sharing heavily depends on the capabilities of an information system to reproduce the ongoing discourses within a community. In order to illustrate the artifacts of a discourse as authentic as possible it is not sufficient to store the plain information, but also to reflect the context they have been used in. An ideal representation to do so is non-linear storytelling. The Web 2.0 in its “bi-directional” design therefore is an ideal basis for media centric knowledge sharing. In this article we present a novel solution to this issue by non-linear storytelling in the Virtual Campfire system. Virtual Campfire is a social software that allows a modular composition of web services based on a Lightweight Application Server in community engine called LAS. Hence, Virtual Campfire is capable of fully exploiting the features of the Web 2.0 in a comprehensive community information system covering web-services for geo-spatial content sharing, multimedia tagging and collaborative authoring of hypermedia artifacts.
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A Media Centric Knowledge Management Theory

Snow differentiates between two different trends in collaboration and learning within scientific communities (Snow 1959). First, the ‘linear type’ of learning that is goal-oriented and transmission-centered. This means, old information in scientific communities is being replaced by new one as soon as this appears. Second, there is a ‘non-linear type’ of learning. This type is media centric and reflects the nature of the ongoing discourse. It doesn’t replace old information but keeps it and might be applied in a different context later on. Here, information is not simply transmitted for learning, but it is presented based on the underlying theory in use. Our collaborative research center on “Media and Cultural Communication” (cf. http://www.fk-427.de) has given us a detailed insight into the importance of proper media support in knowledge sharing. The description and [loose] classification of medial artifacts is probably the most important part of the methodological perception process to make social software work. This means that a continuous perception of activities in communities of practice is necessary for them in order to gain new knowledge. The question therefore is: How to resemble working practices in communities of practice by means of social software?

A media-specific theory developed in the center helped us understand digital media support for discourses in the cultural sciences. It is based on the following three media operations (Jäger & Stanitzek 2002; Fohrmann & Schüttpelz 2004):

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