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Semantic Integration through Linked Data in the iGreen project.

, , , and . GIL Jahrestagung, volume P-194 of LNI, page 107-110. GI, (2012)

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DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)., , , , , , , , , and . J. Web Semant., 5 (3): 156-174 (2007)Social Semantic Web, , , , , , , , , and 38 other author(s). Springer, Berlin, (2009)Towards Semantic Desktop Wikis, and . UPGRADE special issue on "The Semantic Web", (2005)Semantic Desktop. Die Konvergenz von Social Software und semantischen Technologien, , , and . (2008)Skipforwards a Lightweight Ontology-based Peer-to-Peer Recommendation System., and . ISWC (Posters & Demos), volume 401 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)iGreen: Anwendung intelligenter Wissenstechnologien im öffentlich-privaten Wissensmanagement im Agrarbereich., , and . GIL Jahrestagung, volume P-211 of LNI, page 27-30. GI, (2013)Interactive Semantic Wikis, , , , , , , and . 1.1. The NEPOMUK consortium, (December 2006)Semantic Integration through Linked Data in the iGreen project., , , and . GIL Jahrestagung, volume P-194 of LNI, page 107-110. GI, (2012)Towards Bridging the Semantic Gap in Multimedia Annotation and Retrieval, , , and . Proceedings of the First International Workshop on Semantic Web Annotations for Multimedia, (2006)Adapting the Multi-Desktop Paradigm Towards a Multi-Context Interface, , and . 63 WS MRC- HCP-2008- Third International Conference on Human Centered Processes, (2008)Abstract. Knowledge workers are typically processing multiple tasks in parallel. As humans can concentrate and work on but one task at a time, users have to switch between them. The required task switching causes a high cognitive load and decreases efficiency. To reduce the costs of these task switches, we have to find ways to cope with a multitude of dormant tasks the user might switch to again. The challenges here are supporting the user to resume work on a (former) task. In this work, we employ the known multi-desktop paradigm and extend it to a task-switching interface. Each of the multiple desktops is identified with one individual context of the user. Each virtual desktop consists of a different set of applications with open documents and their positioning on screen. This helps the user to separate individual tasks and allows easy recovering when switching back. As we explicitly want to allow switching back to finished tasks in order to reuse the knowledge captured there, the multi-desktop paradigm has.