An Augmented Tagging Scheme with Triple Tagging and Collective Filtering

Authors:
Jie Yang;Yutaka Matsuo;Mitsuru Ishizuka
Affiliations:
-;-;-
Venue:
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2007

Citing 0
Cited 2

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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.