Sie sind hier

EU IST Future and Emerging Technologies Project "TAGORA"

A new paradigm is quickly gaining impact in large-scale information systems: Folksonomies. In applications like Flickr, Connotea, Citeulike, Delicious, etc. people no longer make a passive use of online resources - they take on an active role and enrich resources with semantically meaningful information. Such information consists of terminology (or "tags") freely associated by each users to resources and is shared with users of the online community. Despite its intrinsic anarchist nature, the dynamics of this terminology system spontaneously leads to patterns of terminology common to the whole community or to subgroups of it. Surprisingly, this emergent and evolving semiotic system provides a very efficient navigation system through a large, complex and heterogeneous sea of information. Our project proposes a visionary and high risk research aimed at giving a scientific foundation to these developments, so contributing to the growth of the new field of semiotic dynamics. Semiotic dynamics studies how semiotic relations can originate, spread, and evolve over time in populations, by combining recent advances in linguistics and cognitive science with methodological and theoretical tools of complex systems and computer science. The project aims at exploiting the unique opportunity offered by the availability of enormous amount of data. This goal will be achieved through: (a) a systematic and rigorous gathering of data that will be made publicly available to the consortium and to the scientific community; (b) designing and implementing innovative tools and procedures for data analysis and mining; (c) constructing suitable modelling schemes which will be implemented in extensive numerical simulations. We aim in this way at providing a virtuous feedback between data collection, analysis, modelling, simulations and (whenever possible) theoretical constructions, with the final goal to understand, predict and control the semiotic dynamics of on line social systems.

Laufzeit

  • Juni 2006 - August 2009

Geldgeber

  • EU IST Future and Emerging Technologies

Partner

Literatur

2009

Dellschaft2009UTD
Dellschaft, Klaas; Staab, Steffen (2009): Understanding the Dynamics in Tagging Systems. In: Proceedings of the European Future Technologies Conference.

 

Dellschaft2009SAS
Dellschaft, Klaas; Görlitz, Olaf; Szomszor, Martin (2009): Sense Aware Searching and Exploration with MyTag. In: Proceedings of ISWC-09 Poster and Demo Session.

2008

Franz2008UYD
Franz, Thomas; Dellschaft, Klaas; Staab, Steffen (2008): Unlock your Data: The Case of MyTag. In: Future Internet Symposium.

 

Abbasi2008ITP
Abbasi, Rabeeh; Staab, Steffen (2008): Introducing Triple Play for Improved Resource Retrieval in Collaborative Tagging Systems. In: In: Proc. of ECIR'08 Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008).

 

Goerlitz2008PPI
Görlitz, Olaf; Sizov, Sergej; Staab, Steffen (2008): PINTS: Peer-to-Peer Infrastructure for Tagging Systems. In: Proceedings of the Seventh International Workshop on Peer-to-Peer Systems, IPTPS. Tampa Bay, USA:

 

Braun2008PSA
Braun, Max; Dellschaft, Klaas; Franz, Thomas; Hering, Dominik; Jungen, Peter; Metzler, Hagen; Müller, Eugen; Rostilov, Alexander; Saathoff, Carsten (2008): Personalized Search and Exploration with MyTag. In: Proceedings of the WWW 2008 Poster Session.

 

Dellschaft2008AED
Dellschaft, Klaas; Staab, Steffen (2008): An Epistemic Dynamic Model for Tagging Systems. In: HYPERTEXT 2008, Proceedings of the 19th ACM Conference on Hypertext and Hypermedia.

 

Goerlitz2008TTD
Görlitz, Olaf; Sizov, Sergej; Staab, Steffen (2008): Tagster - Tagging-Based Distributed Content Sharing. In: Proceedings of the ESWC 2008 Demo Session.

 

2007

Abbasi2007ORO
Abbasi, Rabeeh; Staab, Steffen; Cimiano, Philipp (2007): Organizing Resources on Tagging Systems using T-ORG. In: Bridging the Gap between Semantic Web and Web 2.0, workshop at ESWC 2007. Innsbruck, Austria:

2006

Dellschaft2006OHT
Dellschaft, Klaas; Staab, Steffen (2006): On How to Perform a Gold Standard Based Evaluation of Ontology Learning. In: I. Cruz et al., : Proceedings of the 5th International Semantic Web Conference (ISWC). Springer Verlag. S. 228-241.

Projekt-Homepage

http://www.tagora-project.eu/

Software

More information on the peer-to-peer tagging software Tagster can be found here.

Related project with participation from Koblenz

EMIL - Emergence in the Loop: Simulating the two-way dynamics of norm innovation

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! 

Abschlussdatum: 
August, 2009