Abstract
Organizing data into category hierarchies (taxonomies) is useful for content discovery, search, exploration and analysis. In industrial settings targeted taxonomies for specific domains are mostly created manually, typically by domain experts, which is time consuming and requires a high level of expertise. This paper presents an algorithm and an implemented interactive system for automatically generating target-domain taxonomies based on the Wikipedia Category Hierarchy. The system also enables human post-editing, facilitated by intelligent assistance.
Original language | English |
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Pages (from-to) | 503-508 |
Number of pages | 6 |
Journal | International Conference Recent Advances in Natural Language Processing, RANLP |
State | Published - 2011 |
Event | 8th International Conference on Recent Advances in Natural Language Processing, RANLP 2011 - Hissar, Bulgaria Duration: 12 Sep 2011 → 14 Sep 2011 |
All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
- Artificial Intelligence
- Electrical and Electronic Engineering