A web-based ontology browsing and editing system

Authors:
Jérôme Thoméré;Ken Barker;Vinay Chaudhri;Peter Clark;Michael Eriksen;Sunil Mishra;Bruce Porter;Andres Rodriguez
Affiliations:
SRI International, 333 Ravenswood Ave, Menlo Park, CA;University of Texas, At Austin, Austin, TX;SRI International, 333 Ravenswood Ave, Menlo Park, CA;Boeing Research and Technology, P.O. Box 37070, Seattle, WA;SRI International, 333 Ravenswood Ave, Menlo Park, CA;SRI International, 333 Ravenswood Ave, Menlo Park, CA;University of Texas, At Austin, Austin, TX;SRI International, 333 Ravenswood Ave, Menlo Park, CA
Venue:
Eighteenth national conference on Artificial intelligence
Year:
2002

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Abstract

Making logic-based AI representations accessible to ordinary users has been an ongoing challenge for the successful deployment of knowledge bases. Past work to meet this objective has resulted in a variety of ontology editing tools and task-specific knowledge-acquisition methods. In this paper, we describe a Web-based ontology browsing and editing system with the following features: (a) well-organized English-like presentation of concept descriptions and (b) use of graphs to enter concept relationships, add/delete lists, and analogical correspondences. No existing tool supports these features. The system is Web-based and its user interface uses a mixture of HTML and Java. It has undergone significant testing and evaluation in the context of a real application.