Abstract
This paper proposes four models to manually acquire procedural and declarative knowledge based on procedural and declarative knowledge acquisition language (PDKAL). The method of transforming PDKAL to object language (OL) is also introduced for inference in the acquired knowledge base. Preliminary experiments show that the four models are this method is relatively easy to use and can improve the productivity of human knowledge engineers dramatically. Moreover, the acquired knowledge is more accurate compared with those obtained using the "frame-slot" method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Conference on Semantics, Knowledge and Grid (SKG 2007) |
| Pages | 491-494 |
| Publication status | Published - 29 Oct 2007 |
| Event | 3rd International Conference on Semantics, Knowledge and Grid (SKG 2007) - Xi'an, China Duration: 29 Oct 2007 → 31 Oct 2007 |
Conference
| Conference | 3rd International Conference on Semantics, Knowledge and Grid (SKG 2007) |
|---|---|
| Place | China |
| City | Xi'an |
| Period | 29/10/07 → 31/10/07 |
Research Keywords
- history
- inference mechanisms
- knowledge acquisition
- knowledge based systems
- text analysis
- frame-slot method
- historical text
- inference mechanism
- knowledge base
- object language
- procedural-declarative knowledge acquisition language
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