Invited Lectures

Here you can find lectures of Know-Center employees

Visualizing Research Fields based on Scholarly Communication on the Web

KS Peter Kraker 2014

IKT der Zukunft 2014 - Auftaktveranstaltung

KRD Eduardo Veas 2014

Discussion panel on topics of big-data analytics. Considered issues in terms of innovation and opportunities for research. Also looked at the need for new data processing infrastructures.

Discovery and Visual Analysis of Linked Data for Humans

KRD Vedran Sabol 2014

Linked Data has grown to become one of the largest available knowledge bases. Unfortunately, this wealth of data remains inaccessible to those without in-depth knowledge of semantic technologies. We describe a toolchain enabling users without semantic technology background to explore and visually analyse Linked Data. We demonstrate its applicability in…

Using Semantics for Interactive Visual Analysis of Linked Open Data

KRD Gerwald Tschinkel 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…

Zitate, Downloads und Readerships - eine Analyse auf Zeitschriftenebene

KS Peter Kraker 2014

Performer Support: How Big Data supports performers in enterprises

GF Wolfgang Kienreich 2014

Open Data

KS Peter Kraker 2014

SME Best Practices for Knowledge Management and Knowledge Transfer

KS Hermann Stern 2014

On the Value of Data: How Big Data contributes to value creation in industry

GF Wolfgang Kienreich 2014

What Really Works: Reflections on Applied Methods in a Real World Interdisciplinary Project

KS Elisabeth Lex 2014

Social Tag Recommendations

KS Dominik Kowald 2014

Mining Scientific Articles - Parse PDF & Extract Information

KRD Roman Kern 2014

Current research about information extraction of PDF files.

Exhibition: "CODE - Commercially Empowered Linked Open Data Ecosystems in Research"

KRD Vedran Sabol 2014

CODE’s vision is to establish a web-based, commercially oriented ecosystem for Linked Open Data. Project focuses on research papers as source of facts which are integrated into a “Linked Science Data cloud”, and investigates roles, revenue models and value chains in data marketplaces. The exhibit includes the demonstration of several…

Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency

KS Dominik Kowald 2014

Towards a Scalable Recommender Engine for Online Marketplaces

KS Dominik Kowald 2014

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