Name
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. |
Year | Venue | Keywords |
|---|---|---|
2002 | AAAI/IAAI | following feature,www.,expert systems,editing system,ontology editing tool,logic-based ai representation,analogical correspondence,existing tool,knowledge base,concept description,concept relationship,html,knowledge acquisition,web-based ontology browsing,www,expert system,user interface |
Field | DocType | ISBN |
Ontology,Graph,World Wide Web,Software deployment,Computer science,Expert system,Web application,User interface,Java,Knowledge acquisition | Conference | 0-262-51129-0 |
Citations | PageRank | References |
12 | 1.05 | 9 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jérôme Thoméré | 1 | 78 | 8.43 |
| Ken Barker | 2 | 834 | 83.23 |
| Vinay Chaudhri | 3 | 78 | 7.52 |
| Peter Clark | 4 | 202 | 15.11 |
| Michael Eriksen | 5 | 12 | 1.05 |
| Sunil Mishra | 6 | 162 | 13.01 |
| Bruce Porter | 7 | 316 | 30.66 |
| Andres Rodriguez | 8 | 50 | 5.13 |