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Are semantic desktops better?: summative evaluation comparing a semantic against a conventional desktop
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International Conference On Knowledge Capture archive
Proceedings of the fifth international conference on Knowledge capture table of contents
Redondo Beach, California, USA
SESSION: Interactive systems table of contents
Pages: 1-8  
Year of Publication: 2009
ISBN:978-1-60558-658-8
Authors
Thomas Franz  University of Koblenz-Landau, Koblenz, Germany
Scherp Ansgar  University of Koblenz-Landau, Koblenz, Germany
Steffen Staab  University of Koblenz-Landau, Koblenz, Germany
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

Semantic desktop environments aim at improving the effectiveness and efficiency of users carrying out daily tasks within their personal information management (PIM) infrastructure. They support the user by transferring and exploiting the explicit semantics of data items across different PIM applications. Whether such an approach does indeed reach its aim of facilitating users' life and--if so--to which extent, however, remains an open question. In this paper we address this question with the first summative evaluation of a semantic desktop. We have developed a test environment to evaluate two semantic PIM applications against standard PIM tools. As result, we have found significant efficiency and satisfaction improvements for typical PIM tasks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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A. Cheyer, J. Park, and R. Giuli. IRIS: Integrate. Relate. Infer. Share. In Workshop On The Semantic Desktop, ISWC, 2005.
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T. Franz, A. Scherp, and S. Staab. Does a semantic desktop facilitate your daily tasks? Technical Report 12, Universität Koblenz-Landau, 2008. ISSN (Online) 1864--0850.
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G. Gediga and K.-C. Hamborg. Evaluation of software systems. Encyclopedia of Computer Science and Technology, 45, 2001.
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D. R. Karger, K. Bakshi, D. Huynh, D. Quan, and V. Sinha. Haystack: A General-Purpose Information Management Tool For End Users Based On Semistructured Data. In CIDR, pages 13--26, 2005.
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Collaborative Colleagues:
Thomas Franz: colleagues
Scherp Ansgar: colleagues
Steffen Staab: colleagues