Abstract
Procedural knowledge is the knowledge required to perform certain tasks. It forms an important part of expertise, and is crucial for learning new tasks. This paper summarises existing work on procedural knowledge acquisition, and identifies two major challenges that remain to be solved in this field; namely, automating the acquisition process to tackle bottleneck in the formalization of procedural knowledge, and enabling machine understanding and manipulation of procedural knowledge. It is believed that recent advances in information extraction techniques can be applied compose a comprehensive solution to address these challenges. We identify specific tasks required to achieve the goal, and present detailed analyses of new research challenges and opportunities. It is expected that these analyses will interest researchers of various knowledge management tasks, particularly knowledge acquisition and capture.
| Original language | English |
|---|---|
| Title of host publication | KDIR 2010 : proceedings of the International Conference on Knowledge Discovery and Information Retrieval |
| Editors | Ana L.N. Fred, J. Filipe |
| Place of Publication | (PT) |
| Publisher | SciTePress |
| Pages | 432-437 |
| Number of pages | 6 |
| ISBN (Print) | 978-989-842528-7 |
| Publication status | Published - 2010 |
| Event | International Conference on Knowledge Discovery and Information Retrieval - Valencia, Spain Duration: 25 Oct 2010 → 28 Oct 2010 |
Conference
| Conference | International Conference on Knowledge Discovery and Information Retrieval |
|---|---|
| Abbreviated title | KDIR 2010 |
| Country/Territory | Spain |
| City | Valencia |
| Period | 25/10/10 → 28/10/10 |
Keywords
- information extraction
- semantic
- procedural knowledge
- ontology
- knowledge acquisition
- instructional text