Sabol, Vedran: Difference between revisions

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'''DI Vedran Sabol''' <nowiki>works as scientific assistant at the ''Know Center'' in Graz. In a connection between science and economy the ''Know Center'' accomplishes problem- and results-oriented and easily applyable scientific projects in the areas of knowledge management as well as human- and organisation-oriented knowledge management. </nowiki>
He is expert for
*[http://en.wikipedia.org/wiki/Semantic_Web semantic web]
*[http://en.wikipedia.org/wiki/Text_mining text mining]
*knowledge map and
*[http://en.wikipedia.org/wiki/Knowledge_visualization knowledge visualisation].
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== External Links ==
Dipl.-Ing. Dr.techn. '''Vedran Sabol''' leads the Knowledge Visualization Area at the Know-Center GmbH, Austria's research center for data-driven business and big data analytics. He is also employed at the Graz University of Technology as lecturer. Vedran's research focus is in the fields of visual analytics, information and knowledge visualization, human-computer interaction, and knowledge discovery. Over the past 15 years he has successfully led and completed numerous applied research project involving industry and academia. He has published over 60 scientific publications including journal contributions, book chapters and conference papers.  
*[http://www.semantic-web.at/26.2949.2949.systemuser.vedran-sabol.htm Vedran Sabol @ Semantic Web School - Center for Knowledge Transfer]
*[http://www.know-center.tugraz.at/ Know Center Graz]


Vedran was involved, either as a collaborator or as a project leader, in national and international applied research projects addressing the aforementioned areas. These include (but are not limited to):


== Publications ==
* [http://www.infovis-wiki.net/index.php/InfoSky InfoSky] - Visualization of Large Hierarchical Document Spaces (COMET project)
*[http://www.ascendancy.at/wolf/ short portrait and publication list]
* [http://knowminer.know-center.tugraz.at/ KnowMiner] - Know-Center's Knowledge Discovery Framework (COMET project)
* MISTRAL - Measurable Intelligent and Reliable Semantic Extraction and Retrieval of Multimedia Data (FIT-IT project)
* Semantic Competitive Intelligence - Visually supported analysis of semantic patterns in knowledge repositories (COMET project)
* RAVEN - Relation Analysis and Visualization for Evolving Network (FFG project)
* Visually Supported Ontology Alignment ((COMET project, in cooperation with MIMOS, Malaysia)
* [http://www.weblyzard.com/divine/ DIVINE] - Dynamic Integration and Visualization of Information from Multiple Evidence Sources (FFG project)
* [http://code-research.eu/ CODE] - Commercially Empowered Linked Open Data Ecosystems in Research (FP7 EU project)
* [http://eexcess.eu/ EEXCESS] - Enhancing Europe’s eXchange in Cultural Educational and Scientific reSources (FP7 EU project)
* Big Measurement Data - Pattern Search and Visualization of Sensor Data (COMET project)




 
== External Links ==
 
*[http://know-center.tugraz.at/kompetenzen/knowledge-visualization Know-Center Graz]
 
[[Category:Persons]]

Latest revision as of 14:03, 25 March 2015


Dipl.-Ing. Dr.techn. Vedran Sabol leads the Knowledge Visualization Area at the Know-Center GmbH, Austria's research center for data-driven business and big data analytics. He is also employed at the Graz University of Technology as lecturer. Vedran's research focus is in the fields of visual analytics, information and knowledge visualization, human-computer interaction, and knowledge discovery. Over the past 15 years he has successfully led and completed numerous applied research project involving industry and academia. He has published over 60 scientific publications including journal contributions, book chapters and conference papers.

Vedran was involved, either as a collaborator or as a project leader, in national and international applied research projects addressing the aforementioned areas. These include (but are not limited to):

  • InfoSky - Visualization of Large Hierarchical Document Spaces (COMET project)
  • KnowMiner - Know-Center's Knowledge Discovery Framework (COMET project)
  • MISTRAL - Measurable Intelligent and Reliable Semantic Extraction and Retrieval of Multimedia Data (FIT-IT project)
  • Semantic Competitive Intelligence - Visually supported analysis of semantic patterns in knowledge repositories (COMET project)
  • RAVEN - Relation Analysis and Visualization for Evolving Network (FFG project)
  • Visually Supported Ontology Alignment ((COMET project, in cooperation with MIMOS, Malaysia)
  • DIVINE - Dynamic Integration and Visualization of Information from Multiple Evidence Sources (FFG project)
  • CODE - Commercially Empowered Linked Open Data Ecosystems in Research (FP7 EU project)
  • EEXCESS - Enhancing Europe’s eXchange in Cultural Educational and Scientific reSources (FP7 EU project)
  • Big Measurement Data - Pattern Search and Visualization of Sensor Data (COMET project)


External Links

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