A Web-Based Ontology Browsing and Editing System

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.

Authors

• Jérôme Thoméré SRI International; Ken Barker
• University of Texas at Austin; Vinay Chaudhri SRI International; Peter Clark
• Boeing Research and Technology; Michael Eriksen and Sunil Mishra SRI International; Bruce Porter
• University of Texas at Austin; Andres Rodriguez SRI International

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