An augmented tagging scheme with triple tagging and collective filtering

Jie Yang, Yutaka Matsuo, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
Pages35-40
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 - Silicon Valley, CA
Duration: 2007 Nov 22007 Nov 5

Other

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

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