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Net2 - A Network for Enabling Networked Knowledge

Das World Wide Web verbindet Kontinente und versorgt Menschen weltweit mit Informationen. Der effiziente und effektive Umgang mit dieser Flut an Informationen erfordert aber neue Methoden, die es erlauben, Wissen zu integrieren, zu vernetzen, und neu zu ordnen. Um diese Ziele zu erreichen, muss Wissen auf neuartige Weise im Web bereitgestellt und angefragt werden. Demgemäß werden in Net2 Methoden für neue Webtechnologien und -standards entwickelt und formalisiert, sowie prototypisch implementiert.

Net2 unterstützt die Entwicklung geeigneter Methoden in einem weltweiten Forschungsnetzwerk über 9 Länder aus 4 Kontinenten, indem es Gelder für den Austausch von Wissenschaftlern bereitstellt.

Laufzeit

  • TBD

Geldgeber

  • EU FP7 - ICT

Partner

Prof. Dr. Steffen Staab

B 108
+49 261 287-2761
staab@uni-koblenz.de

Short CV

I have studied computer science and computational linguistics at the Universität Erlangen-Nürnberg and at the University of Pennsylvania. I worked in the previous computational linguistics research group at the Universität Freiburg and did my Ph.D. in computer science in the faculty for technology in 1998. Afterwards I joined Universität Stuttgart, Institute IAT & Fraunhofer IAO, before I moved on to the Universität Karlsruhe (now: KIT), where I progressed from project lead, over lecturer and senior lecturer and did my habilitation in 2002. In 2004 I became professor for databases and information systems at Universität Koblenz-Landau, where I founded the Institute for Web Science and Technologies (WeST) in 2009. In parallel, I hold a Chair for Web and Computer Science at University of Southampton since March 2015.

Research Interests

Data represent the world on our computers. While the world is very intriguing, data may be quite boring, if one does not know what they mean. I am interested in making data more meaningful to find interesting insights in the world outside.

How does meaning arise?

  • One can model data and information. Conceptual models and ontologies are the foundations for knowledge networks that enable the computer to treat data in a meaningful way.
  • Text and data mining as well as information extraction find meaningful patterns in data (e.g. using ontology learning of text clustering) as well as connections between data and its use in context (e.g. using smartphones). Hence, knowledge networks may be found in data.
  • Humans communicate information. In order to understand what data and information means, one has to understand social interactions. In the context of social network knowledge networks become meaningful for human consumption.
  • Eventually meaning is nothing that exists in the void. Data and information must be communicated to people who may use insights into data and information. Interaction between humans and computers must happen in a way that matches the meaning of data and information.

The World Wide Web is the largest information construct made by mankind to convey meaningful data. Web Science is the discipline that considers how networks of people and knowledge in the Web arise, how humans deal with it and which consequences this has for all of us. The Web is a meaning machine that I want do understand by my research.

Where else you might find me?

In my office (room B110), traveling, running in the local forest or in Changa or at AHS. Watch out! 

Dr. Renata Dividino

I am from Brazil and have been living in Germany since 2005. I have got my Master degree in Saarbrücken and I am now a doctoral student at the institute WeST and advised by Prof. Staab. I have been working at the institute WeST since Oct. 2008. My home town is now Koblenz where I love to live and enjoy the time with my husband and kids. 

My research interests are mainly in the field of Linked Open Data and in particular related to the analysis of how the data changes over time. I also study the use of metadata information such as timestamps, data trust, data provider for improving Web Applications, for instance, for debugging and ranking data. I have worked in different research projects involving semantic web technologies and languages. Furthermore, I work as a teaching assistant in classes such as the database course, the Linked Data seminar, and semantic Web courses.

René Pickhardt

B 104
+49 261 287-2765
rpickhardt@uni-koblenz.de

Persönlich

Ich bin ein heavy metal fan und zusätzlich ein blogger. Zu meinen Themen gehören Open access sowie open education und open source.

Meine Begeisterung für die Zusammenarbeit mit Schülern zeigt sich in meinen 4 Kursen die ich an der Deutschen Schülerakademie.gehalten habe.

Ich Interessiere mich für Bitcoins und habe gemeinsam mt Jonas Kunze einen dogecoin pool gestartet.

Mein persönlicher Held ist Aaron Schwartz.

Forschung

Mein Hauptforschungsthema ist Language models. Insbesondere habe ich die Theorie der generalisierten Language Models entwickelt.

Ich interessiere mich für hoch skalierbare Systeme und alles was mit high performance computing und sozialen Netzwerken zu tun hat.

Lehre ist eine der schönsten Tätigkeiten an im Leben eines Wissenschaftlers. Deswegen habe ich den Web Science MOOC erstellt.