EU IST Network of Excellence "K-Space - The Knowledge Space of Technology to Bridge the Semantic Gap"


Duration: January 2006 - December 2008

Project Members

funding programme

EU, Information Society Technologies (IST)

Short description

When working with audio-visual data, humans utilize komplex and subjective interpretations. In contrast to this rich meaning, computers can only generate simple content descriptions automatically. The gap between low level content descriptions and high level human interpretation is called "the Semantic Gap". The aim of the K-Space project is to narrow this gap, connecting the work of world leading research teams at universities and industry.

The University of Koblenz-Landau contributes to K-Space in the areas of knowledge representation and storage and semi automatic semantic annotation. The Core Ontology of Multi Media COMM allows to express low level descriptions as well as high level context and relations on a well founded logical model, going clearly beyond current state of the art in multimedia description. An extension of the semantic web knowledge representation language RDF allows to define flexible views on annotation. A distributed storage infrastructure is used to access annotation regardless of their physical location. The development of the K-Space Annoation Tool KAT is lead by the University of Koblenz-Landau. KAT integrates automatic feature extraction tools with rich manual annoation of media items and works with variaous media types, such as images, video and audio.

In addition to high quality research, the K-Space network's activities include organisation of the summer school "Multimedia Semantics", a European Masters program and joint publications in the area of semantic multimedia.


  • Queen Mary, University of London
  • Joanneum Research Forschungsgesellschaft mbH
  • Informatics and Telematics Institute
  • Dublin City University
  • Centrum voor Wiskunde en Informatica
  • Groupe des Ecoles des Télécommunications
  • Institut National de l'Audiovisuel
  • Institut Eurécom
  • University of Glasgow
  • German Research Centre for Artificial Intelligence
  • Technische Universität Berlin
  • Ecole Polytechnique Fédérale de Lausanne
  • University of Economics, Prague



Schenk, Simon; Staab, Steffen (2008): Networked Graphs: A Declarative Mechanism for SPARQL Rules, SPARQL Views and RDF Data Integration on the Web. In: Proceedings of the 17th International World Wide Web Conference. Bejing, China:


Arndt, Richard; Schweiger, Roland; Ritter, Werner; Paulus, Dietrich; Löhlein, Otto (2007): Detection and Tracking of Multiple Pedestrians in Automotive Applications. In: Proceedings of the IEEE Intelligent Vehicles Symposium. IEEE Intelligent Transportation Systems Society. S. 13-18.

Kubias, Alexander ; Schenk, Simon; Staab, Steffen (2007): SAIQL Query Engine - Querying OWL Theories for Ontology Extraction.

Arndt, Richard; Troncy, Raphael; Staab, Steffen; Hardman, Lynda (2007): Adding Formal Semantics to MPEG-7: Designing a Well-Founded Multimedia Ontology for the Web. Institut für Informatik, Universität Koblenz-Landau. Nr. 04/2007. Arbeitsberichte aus dem Fachbereich Informatik.

Arndt, Richard; Troncy, Raphael; Staab, Steffen; Hardman, Lynda; Vacura, Miroslav (2007): COMM: Designing a Well-Founded Multimedia Ontology for the Web. In: 6th International Semantic Web Conference, ISWC 2007. Springer Berlin / Heidelberg.

Kubias, Alexander ; Schenk, Simon; Staab, Steffen; Pan, Jeff Z. (2007): OWL SAIQL - An OWL DL Query Language for Ontology Extraction. In: Proceedings of the 2007 International Workshop on OWL: Experiences and directions (OWLED-07).

Schenk, Simon (2007): A SPARQL Semantics Based on Datalog. In: Proceedings of KI2007, 30th German Conference on Artificial Intelligence.

Schenk, Simon; Staab, Steffen (2007): Networked RDF Graphs. Institut für Informatik, Universität Koblenz-Landau. Nr. 03/2007. Arbeitsberichte aus dem Fachbereich Informatik.


Bloehdorn, Stephan; Görlitz, Olaf; Schenk, Simon; Völkel, Max (2006): TagFS - Tag Semantics for Hierarchical File Systems. In: 6th International Conference on Knowledge Management (I-KNOW'06), Special Track on Advanced Semantic Technologies. Graz, Austria:

Görlitz, Olaf; Schenk, Simon; Staab, Steffen (2006): TagFs - Bringing Semantic Metadata to the Filesystem.


Project Homepage

Further Information

K-Space Brochure



last modified Nov 14, 2012 02:26