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Dive into the research topics where Jiri Komzak is active.

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Featured researches published by Jiri Komzak.


Applied Artificial Intelligence | 2005

Collaboration in the Semantic Grid: A Basis for e-Learning

Kevin R. Page; Danius T. Michaelides; Simon Buckingham Shum; Yun-Heh Chen-Burger; Jeff Dalton; David De Roure; Marc Eisenstadt; Stephen Potter; Nigel Shadbolt; Austin Tate; Michelle Bachler; Jiri Komzak

The CoAKTinG project aims to advance the state of the art in collaborative mediated spaces for the Semantic Grid. This paper presents an overview of the hypertext and knowledge-based tools that have been deployed to augment exiting collaborative environments, and the ontology that is used to exchange structure, promote enhanced process tracking, and aid navigation of resources before, after, and during a collaboration. While the primary focus of the project has been supporting e-Science, this paper also explores the similarities and application of CoAKTinG technologies as part of a human-centered design approach to e-Learning.


acm symposium on applied computing | 2005

From buddyspace to CitiTag: large-scale symbolic presence for community building and spontaneous play

Yanna Vogiazou; Marc Eisenstadt; Martin Dzbor; Jiri Komzak

In this paper we discuss the conceptual framework and principles that guide our work in the design of large-scale informal environments for collaborative work, learning and play, aiming to foster social bonds and to provide an exciting testbed for emergent social behaviours. We present three different applications we have developed: Buddyspace, an Instant Messaging environment for community building, BumperCars, an online presence-based multiplayer game and CitiTag, an experimental wireless mixed reality game.


ieee international conference on information visualization | 2003

Scaleable GIS data transmission and visualisation

Jiri Komzak; Pavel Slavik

Distributed geographic information systems typically handle large amounts of data; therefore the transmission and visualisation techniques used need to be scaleable to provide quick, interactive feedback. We introduce such techniques based on the data hierarchy (levels of detail). Namely, we describe focus-and-context visualisation and progressive transmission. The main aim is to discuss the combination of these techniques for different data types and for mixture of these data types.


Archive | 2003

Instant messaging + maps = powerful collaboration tools for distance learning

Marc Eisenstadt; Jiri Komzak; Martin Dzbor


Archive | 2007

System for analyzing and visualizing access statistics for a web site

Marc Eisenstadt; Jiri Komzak


Archive | 2004

Collaborative Tools in the Semantic Grid

Michelle Bachler; Simon Buckingham Shum; Jessica Chen-Burger; Jeff Dalton; David De Roure; Marc Eisenstadt; Jiri Komzak; Danius T. Michaelides; Kevin R. Page; Stephen Potter; Nigel Shadbolt; Austin Tate


european conference on computer supported cooperative work | 2003

Buddy space: Large scale presence for communities at work and play

Yanna Vogiazou; Martin Dzbor; Jiri Komzak; Marc Eisenstadt


Archive | 2004

Chain ReAKTing: Collaborative Advanced Knowledge Technologies in the CombeChem Grid

Michelle Bachler; S. Buckingham-Shum; Jessica Chen-Burger; Jeff Dalton; David De Roure; Marc Eisenstadt; Jeremy G. Frey; Jiri Komzak; Danius T. Michaelides; Kevin R. Page; Stephen Potter; Nigel Shadbolt; Austin Tate


Archive | 2003

Instant messaging + maps = powerful tools for distance learning

Marc Eisenstadt; Jiri Komzak; Martin Dzbor


international conference in central europe on computer graphics and visualization | 2002

Architecture of System for Configurable GIS Data Compression.

Jiri Komzak; Pavel Slavik

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Austin Tate

University of Edinburgh

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Jeff Dalton

University of Edinburgh

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