Knowledge Systems Laboratory
Abstract: An Environment for Merging and Testing Large Ontologies
Large-scale ontologies are becoming an essential component of many
applications including standard search (such as Yahoo and Lycos), e-commerce
(such as Amazon and eBay), configuration (such as Dell and PC-Order), and
government intelligence (such as DARPA's High Performance Knowledge Base
(HPKB) program. The ontologies are becoming so large that it is not uncommon
for distributed teams of people with broad ranges of training to be in charge
of the ontology development, design, and maintenance. Standard ontologies
(such as UN/SPSC) are emerging as well which need to be integrated into
large application ontologies, sometimes by people who do not have much
training in knowledge representation. This process has generated needs for
tools that support broad ranges of users in (1) merging of ontological terms
from varied sources (2) diagnosis of coverage and correctness of ontologies
(3) maintaining ontologies over time. In this paper, we present a new merging
and diagnostic ontology environment tool called Chimaera, which was developed
to address these issues in the context of HPKB. We also report on some
initial tests of its effectiveness in merging tasks.
Deborah L. McGuinness,
"An Environment for Merging and Testing Large Ontologies".
Proceedings of the
Seventh International Conference on Principles of Knowledge Representation
and Reasoning (KR2000), Breckenridge, Colorado, USA 12-15 April 2000
Selected Papers of Deborah L. McGuinness.