Description of Terminology and Ontology Track
This track begins with descriptions of basic approaches to specifying, registering, and managing terminology and carries through to industrial applications of terminologies and ontologies. It explores current and proposed relationships between ontologies, terminologies, topic maps and metadata registries.
Ontologies have an increasing role in enterprise knowledge management. They can contribute to difficult information system problems, including: management of metadata semantics; heterogeneous database access; conceptual information retrieval; machine translation; knowledge management for expert systems; definition of common business objects; and technology independent data models.
There are well developed standards for terminologies and some ongoing standards work to support ontologies, both in ISO and IEEE. Emerging ontology standards efforts need to pay attention to established high quality, related standards for terminologies, thesauri, and logic. This track accordingly brings together mature standards work on terminology, thesauri, and logic with emerging work in ontology design, production, applications and maintenance. These will be discussed in the context of the systematic and institutionalized management of metadata that registries provide for an enterprise.
Technology highlights: In this track, you will hear about:
· Tools for ontology management, collaborative development, merging and mapping
o End User participation in specification of ontologies and ontology learning,
o Engineering of ontologies to capture knowledge in a business domain.
· Ontologies to support web services; information retrieval with and without markup.
o DAML+OIL (now becoming Ontology Web Language, OWL), Topic Maps, ISO 1350
· Application of axiomatized ontologies to heterogenous database access
o U.S. Government experience with funding of ontology development and mapping
o DARPA applications in harmonizing Ontologies
· Database engineering tools using ontologies
o Generation of database schema and application software components from ontologies.
o Issues in registration of generated evolving schema.
· Coordination of registered data models and elements from registered Ontologies.
o Change management, mapping to legacy and new elements and models
o Use, registration and management of mappings between ontologies and models of business objects.
· Applications of linguistically motivated ontologies. Evolution of WordNet applications. Mapping efforts between these ontologies and those designed for other purposes.
· Natural language issues in metadata definition and description
o Mapping linguistic ontologies and lexicons to metadata
o Linguistic considerations in ontology mapping. Any hard limits to logical processing, standardization?
· What is a reasonable expectation for definition quality in a metadata registry?
o Use of formal knowledge representation within a metadata registry
o ISO standards efforts related to ontologies
o
11179-2, Z,
Prolog, UML (OCL), CG, KIF, CSMF, DAML