DEMO – Design Environment for Metadata Ontologies

  • Jens Hartmann
  • Elena Paslaru Bontas
  • Raúl Palma
  • Asunción Gómez-Pérez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4011)


Efficient knowledge sharing and reuse—a pre-requisite for the realization of the Semantic Web vision—is currently impeded by the lack of standards for documenting and annotating ontologies with metadata information. We argue that the availability of metadata is a fundamental dimension of ontology reusability. Metadata information provides a basis for ontology developers to evaluate and adapt existing Semantic Web ontologies in new application settings, and fosters the development of support tools such as ontology repositories. However, in order for the metadata information to represent real added value to ontology users, it is equally important to achieve a common agreement on the terms used to describe ontologies, and to provide an appropriate technology infrastructure in form of tools being able to create, manage and distribute this information. In this paper we present DEMO, a framework for the development and deployment of ontology metadata. Besides OMV, the proposed core vocabulary for ontology metadata, the framework comprises an inventory of methods to collaboratively extend OMV in accordance to the requirements of an emerging community of industrial and academia users, and tools for metadata management.


Design Environment Metadata Standard Ontology Engineering Metadata Management Metadata Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jens Hartmann
    • 1
  • Elena Paslaru Bontas
    • 2
  • Raúl Palma
    • 3
  • Asunción Gómez-Pérez
    • 3
  1. 1.Institute AIFBUniversity of KarlsruheGermany
  2. 2.Networked Information Systems, Institute of Computer ScienceFree University of BerlinGermany
  3. 3.Ontology Engineering Group, Laboratorio de Inteligencia Artificial, Facultad de InformáticaUniversidad Politécnica de MadridSpain

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