Publication

Here you can find scientific publications of Know-Center employees

Towards a Recommender Engine for Personalized Visualizations

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

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 (CEUR-WS.org) 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…

Exploring real world points of interest: Design and evaluation of object-centric exploration techniques for augmented re…

M Tatzgern, R Grasset, E Veas, D Kalkofen, H Seichter, D Schmalstieg – Pervasive and Mobile Computing, 2014

Augmented reality (AR) enables users to retrieve additional information about real world objects and locations. Exploring such location-based information in AR requires physical movement to different viewpoints, which may be tiring and even infeasible when viewpoints are out of reach. In this paper, we present object-centric exploration techniques for handheld…

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…

Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints

P Hoefler, M Granitzer, E Veas, C Seifert – Proceedings of Linked Data on the Web (LDOW) @ WWW 2014, 2014

In an interconnected world, Linked Data is more important than ever before. However, it is still quite difficult to access this new wealth of semantic data directly without having in-depth knowledge about SPARQL and related semantic technologies. Also, most people are currently used to consuming data as 2-dimensional tables. Linked…

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.…

Exploring distant objects with augmented reality

M Tatzgern, R Grasset, E Veas, D Kalkofen, H Seichter, D Schmalstieg – Proceedings of the 5th J…, 2013 – Eurographics Association Aire-la-Ville, Switzerland, Switzerland ©2013 …

Augmented reality (AR) enables users to retrieve additional information about the real world objects and locations. Exploring such location-based information in AR requires physical movement to different viewpoints, which may be tiring and even infeasible when viewpoints are out of reach. In this paper, we present object-centric exploration techniques for…

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