Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2010

Granitzer Michael, Kienreich Wolfgang, Sabol Vedran, Lex Elisabeth

Knowledge Relationship Discovery and Visually Enhanced Access for the Media Domain

Medien-Wissen-Bildung. Explorationen visualisierter und kollaborativer Wissensräume, Innsbruck University Press, 2010

Konferenz
Technological advances and paradigmatic changes in the utilization of the World Wide Web havetransformed the information seeking strategies of media consumers and invalidated traditionalbusiness models of media providers. We discuss relevant aspects of this development and presenta knowledge relationship discovery pipeline to address the requirements of media providers andmedia consumers. We also propose visually enhanced access methods to bridge the gap betweencomplex media services and the information needs of the general public. We conclude that acombination of advanced processing methods and visualizations will enable media providers totake the step from content-centered to service-centered business models and, at the same time,will help media consumers to better satisfy their personal information needs.
2010

Granitzer Michael, Sabol Vedran, Kienreich Wolfgang, Lukose Dickson, Onn Kow Weng

Visual Analyses on Linked Data - An Opportunity for both Fields

The 2011 STI Semantic Summit, Riga, Latvia, 2010

2010

Sabol Vedran, Granitzer Michael, Muhr M.

Scalable Recursive Top-Down Hierarchical Clustering Approach with implicit Model Selection for Textual Data Sets

IEEE Computer Society: 7th International Workshop on Text-based Information Retrieval in Procceedings of 21th International Conference on Database and Expert Systems Applications (DEXA 10)., IEEE, 2010

Konferenz
Automatic generation of taxonomies can be usefulfor a wide area of applications. In our application scenario atopical hierarchy should be constructed reasonably fast froma large document collection to aid browsing of the data set.The hierarchy should also be used by the InfoSky projectionalgorithm to create an information landscape visualizationsuitable for explorative navigation of the data. We developedan algorithm that applies a scalable, recursive, top-downclustering approach to generate a dynamic concept hierarchy.The algorithm recursively applies a workflow consisting ofpreprocessing, clustering, cluster labeling and projection into2D space. Besides presenting and discussing the benefits ofcombining hierarchy browsing with visual exploration, we alsoinvestigate the clustering results achieved on a real world dataset.
2010

Sabol Vedran, Syed K. A. A., Scharl A., Hubmann-Haidvogel A., Muhr M.

Incremental Computation of Information Landscapes for Dynamic Web Interfaces

Proceedings of the 10th Brazilian Symposium on Human Factors in Computer Systems , 2010

Konferenz
2010

Granitzer Michael, Sabol Vedran, Onn K., Lukose D.

Ontology Alignment - A Survey with Focus on Visually Supported Semi-Automatic Techniques

Future Internet, MDPI AG, 2010

Journal
2010

Sabol Vedran, Granitzer Michael, Seifert C.

Classifier Hypothesis Generation Using Visual Analysis Methods

NDT: Networked Digital Technologies, Springer, 2010

Konferenz
Classifiers can be used to automatically dispatch the abundanceof newly created documents to recipients interested in particulartopics. Identification of adequate training examples is essential forclassification performance, but it may prove to be a challenging task inlarge document repositories. We propose a classifier hypothesis generationmethod relying on automated analysis and information visualisation.In our approach visualisations are used to explore the document sets andto inspect the results of machine learning methods, allowing the user toassess the classifier performance and adapt the classifier by graduallyrefining the training set.
2010

Sabol Vedran, Kienreich Wolfgang, Seifert C.

Integrating Node-Link-Diagrams and Information Landscapes: A Path-Finding Approach

Poster and Demo at EuroVis 2010, 2010

Konferenz
2010

Sabol Vedran, Kienreich Wolfgang, Seifert C.

Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualizations

European Symposium Visual Analytics Science and Technology (EuroVAST), 2010

Konferenz
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