A Model for Document Processing in Semantic Desktop Systems

There is a significant gap between the services provided by dedicated information systems and general desktop systems for document communication and preparation. This situation is a serious knowledge-management problem, which often results in information loss, poor communication, and confusion among users. Semantic desktops promise to bring knowledge-based services to common desktop applications and, ultimately, to support knowledge management by adding advanced functionality to familiar computing environments. By custom tailoring these systems to different application domains, it is possible to provide dedicated services that assist users in combining document handling and communication with structured workflow processes and the services provided by dedicated systems. This paper presents a model for developing custom-tailored document processing for semantic-desktop systems. Our approach has been applied to the domain of military command and control, which as based on highly-structured document-driven processes.

Web 2.0 as Platform for Inclusive Universal Access in Cooperative Learning and Knowledge Sharing

The goal of this paper is to identify and analyze Web 2.0 services and usage models appropriate for assisting the realization of Inclusive Universal Access (introduced by Derntl and Motschnig-Pitrik as an extension to Universal Access) particularly in cooperative learning and knowledge sharing environments. The analysis is backed by previous research and experience either at the authors’ or other educational institutions. It can serve as a brief reference of a broad spectrum of Inclusive Universal Access scenarios which have proven to be successful together with their Web 2.0 support. It will hopefully also help Web 2.0 service developers to get deeper insight into the different aspects and effects of the new web services in terms of their applications in cooperative learning and knowledge sharing. Furthermore, the paper aims to reveal the gaps and future topics for research, development, and practice.