Sabol, Vedran: Difference between revisions
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DI Dr. Vedran Sabol leads the Knowledge Visualization Research Group and is the deputy division manager of the Knowledge Relationship Discovery Area at the Know-Center GmbH. Vedran's research work focuses on the fields of visual analytics, information and knowledge visualization, human-computer interaction, and knowledge discovery. He has published over 40 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 | |||
* KnowMiner - Know-Center's Knowledge Discovery Framework | |||
* 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 | |||
* RAVEN - Relation Analysis and Visualization for Evolving Network (FIT-IT project) | |||
* Visually Supported Ontology Alignment (in cooperation with MIMOS BERHAD, Malaysia) | |||
* DIVINE - Dynamic Integration and Visualization of Information from Multiple Evidence Sources (FIT-IT project) | |||
* CODE - Commercially Empowered Linked Open Data Ecosystems in Research (FP7 EU-funded research project) |
Revision as of 12:32, 12 July 2012
DI Dr. Vedran Sabol leads the Knowledge Visualization Research Group and is the deputy division manager of the Knowledge Relationship Discovery Area at the Know-Center GmbH. Vedran's research work focuses on the fields of visual analytics, information and knowledge visualization, human-computer interaction, and knowledge discovery. He has published over 40 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
- KnowMiner - Know-Center's Knowledge Discovery Framework
- 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
- RAVEN - Relation Analysis and Visualization for Evolving Network (FIT-IT project)
- Visually Supported Ontology Alignment (in cooperation with MIMOS BERHAD, Malaysia)
- DIVINE - Dynamic Integration and Visualization of Information from Multiple Evidence Sources (FIT-IT project)
- CODE - Commercially Empowered Linked Open Data Ecosystems in Research (FP7 EU-funded research project)