Status: Completed
Start Date: June 2001
End Date: May 2004

Ontoweb was a thematic network whose main long-term goals were:

  1. To stimulate and support the transfer of research on the Semantic Web from academia to industry
  2. To stimulate the translation from industrial needs to technical and scientific problems To represent and co-ordinate ontology-related research being carried out in different research areas, such as: Web Markup Languages, Knowledge Acquisition, Knowledge Engineering, Knowledge Representation, Information systems and database integration, Information Retrieval, Language Engineering, Digital Libraries, Software Agents, and Machine Learning
  3. To disseminate information, research and application results about ontologies and related fields
  4. To represent the European ontology community world wide and co-operating with related initiatives like DAML in the US To enhance the training in ontology-related technologies at the European level
  5. To distribute results and stimulate applications in all areas, with special emphasis on Web-based applications, electronic commerce, and information integration
  6. To cooperate with content standardization committees to promote the development of ontology-based standards and the harmonization/interoperability across different standards (with special emphasis on standards being developed for electronic commerce in the B2B area)
  7. To cooperate with language standardization committees as the W3C to promote the development of standard languages for meta data (future versions of RDF and RDFS)

Specific Goals of the Network were:

  1. Maintaining and extending an information service for scientists, practitioners and students. Electronically, information will be made available about scientific events and developments, courses, companies, and research institutions, material for research such as software and benchmarking problems.
  2. Producing an overview of current research and development activities and an outline of main technical and scientific issues to be addressed in the near future in the form of a technical roadmap.
  3. Demonstrating to industry how ontologies can be applied to particular problems in Knowledge Management, Electronic Commerce, and Enterprise Integration, and identifying problems in industry that can be addressed in scientific research.
  4. Improving the co-operation with related scientific fields such as Web standards, Knowledge Engineering, Knowledge Representation, Information systems and database integration, Information Retrieval, Language Engineering, Digital Libraries, Software Agents, and Machine Learning.

For more information

For more information on the project or if you would like to discuss the application of this research to your work, please send an email to: info{at}biovista.com