Abstract
One factor that affects the rate of knowledge base construction is the availability and reuse of prior knowledge in ontologies and domain-specific knowledge bases. This paper reports an empirical study of reuse performed in the first year of the High Performance Knowledge Bases (HPKB) initiative. The study shows that some kinds of prior knowledge help more than others, and that several factors affect how much use is made of the knowledge.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the National Conference on Artificial Intelligence |
| Publisher | AAAI |
| Pages | 221-226 |
| Number of pages | 6 |
| ISBN (Print) | 0262511061 |
| State | Published - Jan 1 1999 |
| Event | Proceedings of the 1999 16th National Conference on Artificial Intelligence (AAAI-99), 11th Innovative Applications of Artificial Intelligence Conference (IAAI-99) - Orlando, FL, USA Duration: Jul 18 1999 → Jul 22 1999 |
Publication series
| Name | Proceedings of the National Conference on Artificial Intelligence |
|---|
Other
| Other | Proceedings of the 1999 16th National Conference on Artificial Intelligence (AAAI-99), 11th Innovative Applications of Artificial Intelligence Conference (IAAI-99) |
|---|---|
| City | Orlando, FL, USA |
| Period | 7/18/99 → 7/22/99 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence
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Cite this
Cohen, P., Chaudhri, V., Pease, A., & Schrag, R. (1999). Does prior knowledge facilitate the development of knowledge-based systems? In Proceedings of the National Conference on Artificial Intelligence (pp. 221-226). (Proceedings of the National Conference on Artificial Intelligence). AAAI.