Here you can find scientific publications of Know-Center employees

Knowminer Search - a Multi-Visualisation Collaborative Approach to Search Result Analysis

M Rauch, W Klieber, R Wozelka, S Singh, V Sabol – Proceedings of the 19th International Conference on Information Visual…, 2015

The amount of information available on the internet and within enterprises has reached an incredible dimension. Efficiently finding and understanding information and thereby saving resources remains one of the major challenges in our daily work. Powerful text analysis methods, a scalable faceted retrieval engine and a well-designed interactive user interface…

The Recommendation Dashboard: A System to Visualise and Organise Recommendations

G Tschinkel, C di Sciascio, B Mutlu, V Sabol – Proceedings of the 19th International Conference on Information Visualisa…, 2015

Recommender systems are becoming common tools supporting automatic, context-based retrieval of resources. When the number of retrieved resources grows large visual tools are required that leverage the capacity of human vision to analyse large amounts of information. We introduce a Web-based visual tool for exploring and organising recommendations retrieved from…

Towards a Recommender Engine for Personalized Visualizations

B Mutlu, E Veas, C Trattner, V Sabol – UMAP, 2015

Exploring Time Relations in Semantic Graphs

R Wozelka, M Kröll, V Sabol – Proceedings of SIGRAD 2015, Visualization and Interactive Graphics in Computer Games and …, 2015

The analysis of temporal relationships in large amounts of graph data has gained significance in recent years. Information providers such as journalists seek to bring order into their daily work when dealing with temporally distributed events and the network of entities, such as persons, organisations or locations, which are related…

Visual Analysis of Scientific Content

B Mutlu, V Sabol – STCSN E-LETTER ON SCIENCE 2.0, 2015

VizRec: A Two-Stage Recommender System for Personalized Visualizations

B Mutlu, E Veas, C Trattner, V Sabol – ACM IUI, 2015

Visual Recommendations for Scientific and Cultural Content

E Veas, B Mutlu, C di Sciascio, G Tschinkel, V Sabol – IVAPP 2015, 2015

Future Directions for Visualisation

K Andrews, J Pirker, V Sabol – Envisioning Visualisation Without Desktop Computing Workshop (co-located with IEEE VIS 20…, 2014

Discovery and Visual Analysis of Linked Data for Humans

V Sabol, G Tschinkel, E Veas, P Hoefler, B Mutlu, M Granitzer – The Semantic Web – ISWC 2014, Lecture Notes in Compute…, 2014

Using Semantics for Interactive Visual Analysis of Linked Open Data

G Tschinkel, E Veas, B Mutlu, V Sabol – CEUR Workshop Proceedings ( Vol-1272, 2014

Providing easy to use methods for visual analysis of Linked Data is often hindered by the complexity of semantic technologies. On the other hand, semantic information inherent to Linked Data provides opportunities to support the user in interactively analysing the data. This paper provides a demonstration of an interactive, Web-based…

Graph Visualization using Hierarchical Aggregation and Edge Bundling

R Wozelka, V Sabol, E Lex – WebSci'14 Poster Session, 2014

Semantic Blossom Graph: A new Approach for Visual Graph Exploration

M Rauch, R Wozelka, E Veas, V Sabol – Proceedings of the 18th International Conference on Information Visualisation (IV2…, 2014

Graphs are widely used to represent relationships between entities. Indeed, their simplicity in depicting connectedness backed by a mathematical formalism, make graphs an ideal metaphor to convey relatedness between entities irrespective of the domain. However, graphs pose several challenges for visual analysis. A large number of entities or a densely…

Visual Analysis and Knowledge Discovery for Text

C Seifert, V Sabol, W Kienreich, E Lex, M Granitzer – Large-…, 2014 – Aris Gkoulalas-Divanis, Abderrahim Labbi (eds., IBM …

Suggesting Visualisations for Published Data

B Mutlu, P Hoefler, G Tschinkel, E Veas, V Sabol, F Stegmaier, M Granitzer – Proceedings of the 5th International Confer…, 2014

Research papers are published in various digital libraries, which deploy their own meta-models and tech- nologies to manage, query, and analyze scientific facts therein. Commonly they only consider the meta-data provided with each article, but not the contents. Hence, reaching into the contents of publications is inherently a tedious task.…

Integrating User Preferences Into Distance Metrics

M Kroell, V Sabol, R Kern, M Granitzer – accepted for publication in Proceedings of the LWA2013 Workshop on Knowledge Di…, 2013

Many practical scenarios such as search, classification or clustering benefit from better understanding their users, for instance, to deliver more relevant search results. Instead of committing ourselves to a specific field of research, e.g. by generating user profiles to enhance information retrieval, we seek to incorporate user preferences into the…


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