Abstract
Collaborative tagging is increasingly drawing attentions. However the keyword based tagging scheme has its limitations and it can be observed that tagging society are seeking and using new tagging patterns. This paper proposes a subject-predicate-object scheme for users to triple tag web resources. We first introduce the triple tag model and discuss its relations with existing tag schema and RDF model. Then a filter-based framework that supports the query of triple tags is proposed. The implementation and a case study in the comparison shopping domain are exhibited.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 |
| Pages | 35-40 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 - Silicon Valley, CA Duration: 2007 Nov 2 → 2007 Nov 5 |
Other
| Other | IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 |
|---|---|
| City | Silicon Valley, CA |
| Period | 07/11/2 → 07/11/5 |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
Cite this
Yang, J., Matsuo, Y., & Ishizuka, M. (2007). An augmented tagging scheme with triple tagging and collective filtering. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 (pp. 35-40). [4427063] https://doi.org/10.1109/WI.2007.16