Motivations for Ontology

Ontologies are playing an increasing role in AI and CS, e.g. to represent word senses for machine translation, product catalogs for electronic commerce, and materials properties or CAD geometries for engineering applications.

Here, we concentrate on ontologies that are used for modeling enterprise aspects, e.g. for intra/inter-enterprise knowledge and data access, integration, and sharing.

There is also an increasing number of activities focused on ontologies, of which we mention two `hot' examples.

  • USA: Meeting Technical Committee T2, Information Interchange and Interpretation, Pennsylvania, May 13-15, 1998: Discussion of the new international (ISO/IEC) organization for data management and interchange (including standards for information technology for database, conceptual modelling, ontology development, meta data/repository/registry, and EDI support).
  • EU: INTERNATIONAL CONFERENCE ON FORMAL ONTOLOGY IN INFORMATION SYSTEMS (FOIS'98), TRENTO, ITALY, JUNE 6-8, 1998: Research on ontology is becoming increasingly widespread in the computer science community. Its importance has been recognized in fields as diverse as qualitative modelling of physical systems, natural language processing, knowledge engineering, information integration, database design, geographic information science, and intelligent information access. Insights in this field have potential impacts on the whole area of information systems. In order to provide a solid general foundation for this work, it is therefore important to focus on the common scientific principles and open problems arising from current tools, methodologies, and applications of ontology.
  • Next Slide
    Previous Slide
    First Slide