An augmented tagging scheme with triple tagging and collective filtering

Jie Yang*, Yutaka Matsuo, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語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
出版ステータスPublished - 2007
外部発表はい
イベントIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 - Silicon Valley, CA
継続期間: 2007 11月 22007 11月 5

Other

OtherIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
CitySilicon Valley, CA
Period07/11/207/11/5

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信

引用スタイル