Publication Details

A Web-based Ontology Browsing and Editing System

by Thomere, J. and Rodriguez, A. and Chaudhri, V. and Mishra, S. and Eriksen, M. and Clark, P. and Barker, K. and Porter, B.

in Conference on Innovative Applications of Artificial Intelligence

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.

Electronic Copies

Adobe PDF

BibTeX

EndNote

Associated Projects

A Knowledge Entry System for Subject Matter Experts The goal of SHAKEN project is to enable subject matter experts , without any assistance from AI technologists, to assemble the models of processes and mechanisms so that questions about them can be answered by declarative inference and simulation.

AIC Personnel

	Name	Title	E-mail
	Chaudhri, Vinay K	Program Director
	Eriksen, Michael A	Senior Software Engineer
	Mishra, Sunil	Computer Scientist
	Rodriguez, Andres C	Computer Scientist
	Thomere, Jerome F	Computer Scientist