Abstract
Children from 6 to 12 years old who read media types are quite different. The fact that children of 6 to 7 years old like to read picture books, while children of 11 to 12 years old like to read text novel etc. demonstrate children's growth and changes of reading ability. While this research focused on the characteristics of children's reading ability change, we shall develop the knowledge classification structure for children, in order to help them searching information in a digital library. The knowledge classification structure of children digital resources rendered in the proposed virtual interface will be set and be examined. Researchers will employ the facet analysis method to construct a knowledge tree, then apply social-tagging concept to allow children modifying the
knowledge tree and feedback to researchers. The research results may serve as a reference for developing a visualized information retrieval interface for children.
knowledge tree and feedback to researchers. The research results may serve as a reference for developing a visualized information retrieval interface for children.
| Translated title of the contribution | The Exploration of Knowledge Classification Structure for a Visualized Children Information Retrieval Interface |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 79-100 |
| Number of pages | 22 |
| Journal | 國家圖書館館刊 |
| Issue number | 103年1 |
| Publication status | Published - 2014 |
Keywords
- children
- information retrieval
- information visualization
- facet analysis
- social tagging