Publication

Here you can find scientific publications of Know-Center employees

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

Unsupervised document structure analysis of digital scientific articles

S Klampfl, M Granitzer, K Jack, R Kern – International Journal on Digital Libraries, 2014

Text mining and information retrieval in large collections of scientific literature require automated processing systems that analyse the documents' content. However, the layout of scientific articles is highly varying across publishers, and common digital document formats are optimised for presentation, but lack structural information. To overcome these challenges, we have…

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…

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…

Automated Visualization Support for Linked Research Data

B Mutlu, P Hoefler, V Sabol, G Tschinkel, M Granitzer – Proceedings of i-SEMANTICS 2013, 2013

Crowdsourcing Fact Extraction from Scientific Literature

C Seifert, M Granitzer, P Hoefler, B Mutlu, V Sabol, K Schlegel, S Bayerl, F Stegmaier, S Zwicklbauer, R Kern – Proceedi…, 2013

Linked Data Query Wizard: A Tabular Interface for the Semantic Web

P Hoefler, M Granitzer, V Sabol, S Lindstaedt – ESWC 2013, LNCS 7882, 2013 – P. Cimiano et al.

Text Representation for Efficient Document Annotation

C Seifert, E Ulbrich, R Kern, M Granitzer – Journal of Universal Computer Science, 2013 – Christian Gütl

Models of human navigation in information networks based on decentralized search

D Helic, M Strohmaier, M Granitzer, R Scherer – Proceedings of ACM Conference on Hypertext and Hypermedia, 2013

Unleashing Semantics of Research Data

F Stegmaier, C Seifert, R Kern, P Hoefler, S Bayerl, M Granitzer, H Kosch, S Lindstaedt, B Mutlu, V Sabol, K Schlegel, S Zwicklbauer – Proceedings of the Second Workshop on Big Data Benchmarkin…, 2012

Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experi- ments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting…

Visual Ontology Alignment System - an Evaluation

V Sabol, K Onn, M Rauch, E Ulbrich, C Seifert, M Granitzer, D Lukose – Proceedings of SIGRA…, 2012 – Andreas Kerren, Stefan Seipel

Dynamic Topography Information Landscapes – An Incremental Approach to Visual Knowledge Discovery

K Syed, M Kroell, V Sabol, A Scharl, S Gindl, M Granitzer, A Weichselbraun – in Proceedings of the 14th International Co…, 2012

Incrementally computed information landscapes are an effective means to visualize longitudinal changes in large document repositories. Resembling tectonic processes in the natural world, dynamic rendering reflects both long-term trends and short-term fluctuations in such repositories. To visualize the rise and decay of topics, the mapping algorithm elevates and lowers related…

TeamBeam - Meta-Data Extraction from Scientific Literature

R Kern, K Jack, M Hristakeva, M Granitzer – 1st International Workshop on Mining Scientific Publications, 2012

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