Knowledge Systems Laboratory
Abstract: Conceptual Modeling for Distributed Ontology Environments
As ontologies become common in more applications and as those applications
become larger and longer-lived, it is becoming increasingly common for
ontologies to be developed in distributed environments by authors with
disparate backgrounds. Ontologies that are expected to be collaboratively
created and main-tained over time by authors in many locations present
special challenges to the prob-lem of conceptual modeling.
In this paper, we will discuss conceptual modeling issues and focus on
those topics with elevated importance in distributed environments.
We will draw on our experience creating and maintaining ontologies in
differing knowledge representation and reasoning environments over the last
decade. Many of our recent observations are drawn from our experiences in
the DARPA High Performance Knowledge Base Program. This program generated
dozens of knowledge bases authored by people of varying expertise in both
knowledge representation and reasoning as well as domain experience.
Our efforts in merging the ontologies, loading them for coordinated use,
and modifying them to meet evolving needs shape much of the material in this
paper. Additional sources of observations are from designing and building
a number of ecommerce ontologies and also from a few families of description
logic applications including the PROSE/QUESTAR family of configurators and
the FindUR knowledge-enhanced search applications.
Deborah L. McGuinness .
``Conceptual Modeling for Distributed Ontology Environments,''
In Proceedings of The Eighth International Conference on Conceptual Structures
Logical, Linguistic, and Computational Issues
(ICCS 2000), Darmstadt, Germany, August 14-18, 2000.
Also published in Lecture Notes in Computer Science, Conceptual Structures:
Logical, Linguistic, and Computational Issues. Volume 1867/2000. ISBN 978-3-54
0-67859-5, pages 100-112.
Selected Papers of Deborah L. McGuinness.