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EU IST Integrated Project "ASG - Adaptive Services Grid"

Das Ziel des Projektes ist die Entwicklung eines Frameworks zum Management semantisch annotierter Services im Grid-Umfeld. Der effiziente Einsatz von Web und Grid Services wird oft dadurch behindert, dass für Suche, Komposition und Management dieser Services nur rein syntaktische Beschreibungen zur Verfügung stehen. Diese sind häufig für eine automatische Verarbeitung nicht ausreichend, so dass eine manuelle Integration der Services erforderlich wird. Das im Projekt entwickelte Framework wird die semantische Annotation von Services unterstützen und die nötigen Mechanismen zur Verfügung stellen, um darauf aufbauend die verschiedenen Prozesse im Service-Lifecycle zu automatisieren. Dadurch werden flexible Applikationen möglich, die ad-hoc auf die Dynamik der zugrunde liegenden Service-Landschaft zurückgreifen.

Detaillierte Informationen sind auf der ASG-Webseite verfügbar.

Laufzeit

November 2004 - Februar 2007

Geldgeber

EU: Information Society Technology (IST)

Partner

Literatur

2006

Oberle2006SMO
Oberle, Daniel; Staab, Steffen; Eberhart, Andreas (2006): Semantic Management of Distributed Web Applications. In: IEEE Distributed Systems Online. Bd. 7. Nr. 5.

 

Oberle2006TOF
Oberle, Daniel; Lamparter, S.; Grimm, S.; Vrandecic, D.; Staab, Steffen; Gangemi, A. (2006): Towards Ontologies for Formalizing Modularization and Communication in Large Software Systems. In: Journal of Applied Ontology. Bd. 1. Nr. 2. S. 163-202.

 

Staab2006SWA
Staab, Steffen; Stuckenschmidt, Heiner (2006): Semantic Web and Peer-to-Peer. Springer.

 

dAmato2006MAR
d\'Amato, Claudia; Staab, Steffen (2006): Matching and Ranking Services Based on Constraint Hardness. In: Advances in Semantics for Web Services. Workshop at BPM-2006, September 4, Vienna, Austria.

 

Oberle2006TOF1
Oberle, Daniel; Lamparter, S.; Grimm, S.; Vrandecic, D.; Staab, Steffen; Gangemi, A. (2006): Towards Ontologies for Formalizing Modularization and Communication in Large Software Systems. Journal of Applied Ontology.

2005

Oberle2005SMO
Oberle, Daniel; Lamparter, S.; Eberhart, Andreas; Staab, Steffen (2005): Semantic Management of Web Services. In: Proc. of ICSOC-2005 - 3rd Int. Conference on Service Oriented Computing, Amsterdam, The Netherlands.

 

Wolff2005ERO
Wolff, F.; Oberle, Daniel; Lamparter, S.; Staab, Steffen (2005): Economic Reflections on Managing Web Services Using Semantics. In: EMISA-2005 - Enterprise Modelling and Information Systems Architectures. Klagenfurt, Austria.

Projekt Homepage

http://www.asg-platform.org/

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! 

Termination date: 
February, 2007