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An Augmented Tagging Scheme with Triple Tagging and Collective Filtering

by: Jie Yang, Yutaka Matsuo, and Mitsuru Ishizuka

In: WI '07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence Washington, DC, USA: IEEE Computer Society (2007) , p. 35--38.

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URL:	http://portal.acm.org/citation.cfm?id=1331740.1331785&coll=Portal&dl=ACM&CFID=18901846&CFTOKEN=15670023
DOI:	10.1109/WI.2007.16

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.

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An Augmented Tagging Scheme with Triple Tagging and Collective Filtering

BibTeX record

@inproceedings{1331785,
  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.},
  added-at = {2008-03-05T12:53:10.000+0100},
  address = {Washington, DC, USA},
  author = {Yang, Jie and Matsuo, Yutaka and Ishizuka, Mitsuru},
  biburl = {http://www.bibsonomy.org/bibtex/27cc1586f376c330d14586e624fbd94c0/ewomant},
  booktitle = {WI '07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence},
  description = {An Augmented Tagging Scheme with Triple Tagging and Collective Filtering},
  doi = {http://dx.doi.org/10.1109/WI.2007.16},
  interhash = {81397f4410fe15959ba078b35c302c5f},
  intrahash = {7cc1586f376c330d14586e624fbd94c0},
  isbn = {0-7695-3026-5},
  keywords = {folksonomy imported rdf semantic_web tagging},
  pages = {35--38},
  publisher = {IEEE Computer Society},
  timestamp = {2008-03-05T12:53:10.000+0100},
  title = {An Augmented Tagging Scheme with Triple Tagging and Collective Filtering},
  url = {http://portal.acm.org/citation.cfm?id=1331740.1331785&coll=Portal&dl=ACM&CFID=18901846&CFTOKEN=15670023},
  year = 2007
}

Endnote record

%0 Conference Paper
%1 1331785
%A Yang, Jie
%A Matsuo, Yutaka
%A Ishizuka, Mitsuru
%B WI '07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
%@ 0-7695-3026-5
%C Washington, DC, USA
%D 2007
%I IEEE Computer Society
%K 
%P 35--38
%T An Augmented Tagging Scheme with Triple Tagging and Collective Filtering
%R http://dx.doi.org/10.1109/WI.2007.16
%U http://portal.acm.org/citation.cfm?id=1331740.1331785&coll=Portal&dl=ACM&CFID=18901846&CFTOKEN=15670023
%X 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.

BibSonomy :: publication ::

An Augmented Tagging Scheme with Triple Tagging and Collective Filtering

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