I-Know 2005 Special Track on Knowledge and Information Visualisation 2005 (KIV 2005) Weds. 29th June 2005, Graz, Austria http://i-know.at/kiv Call for Participation for the I-KNOW '05 special track on Knowledge and Information Visualisation 2005 The I-KNOW '05 special track on Knowledge and Information Visualization addresses the emerging fields of knowledge and information visualization, involving the visual presentation of and interaction with abstract knowledge and information spaces and structures to facilitate their rapid assimilation and understanding. Original papers are solicited in all areas of knowledge and information visualization. Topics include: o Visualisation of text and multimedia corpora o Visualisation of abstract information structures and spaces o Visualisation of search results o Human computer interfaces for knowledge and information visualisation o Empirical studies of knowledge and information visualisation techniques o Perceptual factors for knowledge and information visualisation o Visualisation of web information systems o Mapping and editing of knowledge structures o Concept mapping o Visualisation of knowledge and concept structures o Data structures, frameworks, and models underlying visualisation o Adaptive visualisation metaphors o Visual data mining Submissions might also address applications of knowledge and information visualisation in areas such as mind mapping, decision support, e-learning, CSCW, healthcare, mobile computing, virtual environments, or bioinformatics. Target Group The topics mentioned above are addressed at researchers and developers as well as at practitioners and providers in the fields of knowledge and information visualisation. The special track will be held in English. Submission Categories Papers: Mon 24 Jan 2005 Papers should be at most eight (8) printed pages. Papers must present previously unpublished, original results. Accepted papers will be published within the J.UCS conference proceedings of the I-Know ’05 Conference. At least one author of an accepted paper must attend the special track to present the work Submission Instructions Please prepare your submission according to I-Know style guidelines. All submissions, regardless of category, should include title, author(s), abstract, keywords, body, and references. Submissions are to be made electronically in PDF (Adobe's Portable Document Format) or MS Word format. Submissions are treated as confidential communications during the review process, so submission does not constitute public disclosure of any ideas therein. Submissions should contain no information or materials that will be proprietary or confidential at the time of publication, and should cite no publications that are proprietary or confidential at the time of publication. Submission Procedure Please submit your contribution via http://www.i-know.at/submission. In case of problems or questions concerning the submission of papers, please contact the track chairs at kiv05@know-center.at via email. Important Dates o 24 January 2005: Submission deadline (8 pages) o 14 March 2005: Notification of acceptance o 18 April 2005: Camera ready-copy (8 pages) o 29 June 2005: KIV 2005 special track Publication Accepted papers will be published within the I-KNOW '05 conference proceedings in cooperation with J.UCS and Springer Co. Pub. Additional Information For additional information please consult the I-KNOW '05 conference website at http://www.i-know.at or the website of the special track on Knowledge and Information Visualisation at http://www.i-know.at/kiv or contact the KIV organizers at kiv05@know-center.at via email. Organizers o Keith Andrews, Graz University of Technology, Austria, kandrews@iicm.edu o Michael Granitzer, Know-Center, Graz, Austria, mgrani@know-center.at o Wolfgang Kienreich, Know-Center, Graz, Austria, wkien@know-center.at o Vedran Sabol, Know-Center, Graz, Austria, vsabol@know-center.at Program Committee o Horst Bischof, Graz University of Technology o Remo Burkhard, University of St. Gallen o Alberto Canas, IHMC, University of West Florida o John Dill, Simon Fraser University o Sue Havre, Pacific Northwest National Laboratory o Urs Hirschberg, Graz University of Technology o Daniel Keim, University of Constance o Alfred Kobsa, University of California, Irvine o Chris North, Virginia Tech o Andreas Rauber, Vienna University of Technology o John Stasko, Georgia Institute of Technology o Sigmar-Olaf Tergan, Knowledge Media Research Center (KMRC), Tuebingen o Jack van Wijk, Eindhoven University of Technology o Pak Wong, Pacific Northwest National Laboratory o Bill Wright, Oculus Info