An augmented tagging scheme with triple tagging and collective filtering

Jie Yang, Yutaka Matsuo, Mitsuru Ishizuka

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
ページ35-40
ページ数6
DOI
出版物ステータスPublished - 2007
外部発表Yes
イベントIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 - Silicon Valley, CA
継続期間: 2007 11 22007 11 5

Other

OtherIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
Silicon Valley, CA
期間07/11/207/11/5

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

これを引用

Yang, J., Matsuo, Y., & Ishizuka, M. (2007). An augmented tagging scheme with triple tagging and collective filtering. : 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