• News

    :: 2015 CGLab got funding for a TUBITAK research grant on Data Analytics

    :: 2012 CGLab got funding for a bilateral research grant on Augmented Reality together with Università di Bologna.

    :: 2011 CGLab got funding for two Turk Telekom research grants on Augmented Reality.

    :: 2010 Research results will be presented at ISCIS (UK) Conference.

    :: 2010 CGLab got funding for a TUBITAK research grant on Information Visualization

    :: 2010 CGLab member Selcuk Sumengen got TUBITAK fellowship to collaborate with UC Merced.

    :: 2009 Research results will be presented at CGI (Canada), CASA (NL), HCI (USA) and GeoVis (D) Conferences.

    :: 2008 research results were presented at SIGGRAPH, Information Visualization VRCAI, Cyberworlds and CAA 2008 Conferences.

    :: Istanbul Archaeology Museum Marmaray-Metro Rescue Excavations Symposium (in Turkish)

    :: CGLab members received IBM Faculty Award

    :: CGI 2008 will be in Istanbul and co-organized by CG Lab

    :: Three CS 450 'Computing and Art' course projects will be presented at SIGGRAPH'07 and IEEE InfoVis'07 as poster presentations

    :: CG Lab got awarded with a collaboration project on Medical VR and AR with University of Lecce, Italy

    :: A toolkit for cultural heritage researchers,CH-Tools is freely available

    :: Recent papers will be presented at CGI 2007, HCI 2007, Grapp 2007 and CAA 2007

    :: CG Lab got awarded with Sabanci University internal grant for a transdiciplinary project 'Novel Representation and interaction techniques of complex datasets'

    :: CG Lab participated to the exhibition of Techne digital performance platform between 17-22 April, 2006.

    :: CG Lab got funding for three TUBITAK research projects

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GlyphLink: An interactive visualization approach for semantic graphs.

Merve Cayli, Murat Can Cobanoglu, Selim Balcisoy

Graph analysis by data visualization involves achieving a series of topology-based tasks. When the graph data belongs to a data domain that contains multiple node and link types, as in the case of semantic graphs, topology-based tasks become more challenging. To reduce visual complexity in semantic graphs, we propose an approach which is based on applying relational operations such as selecting and joining nodes of different types. We use node aggregation to reflect the relational operations to the graph. We introduce glyphs for representing aggregated nodes. Using glyphs lets us encode connectivity information of multiple nodes with a single glyph. We also use visual parameters of the glyph to encode node attributes or type specific information. Rather than doing the operations in the data abstraction layer and presenting the user with the resulting visualization, we propose an interactive approach where the user can iteratively apply the relational operations directly on the visualization. We present the efficiency of our method by the results of a usability study that includes a case study on a subset of the International Movie Database. The results of the controlled experiment in our usability study indicate a statistically significant contribution in reducing the completion time of the evaluation tasks.

Journal of Visual Languages & Computing, Volume 24, Issue 6, December 2013, Pages 463–471 http://dx.doi.org/10.1016/j.jvlc.2013.09.002
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