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P-TAG: large scale automatic generation of personalized annotation tags for the web

by: Paul Alexandru Chirita and Stefania Costache and 2442 Lecture Notes in Computer Science and Siegfried Handschuh

In: WWW '07: Proceedings of the 16th international conference on World Wide WebNew York, NY, USA: ACM (2007) , p. 845--854.

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URL:	http://portal.acm.org/citation.cfm?id=1242686&dl=GUIDE,

Abstract

Advances in Cryptology - CRYPTO 2008, 28th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 17-21, 2008. Proceedings

@inproceedings{chirita2007,
  address = {New York, NY, USA},
  author = {Paul Alexandru Chirita and Stefania Costache and Wolfgang Nejdl and Siegfried Handschuh},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  interHash = {93612f3a17257a5d0d73e95d59d0c408},
  intraHash = {58f1705eb270c20c6aaea2377f88e664},
  pages = {845--854},
  publisher = {ACM},
  title = {P-TAG: large scale automatic generation of personalized annotation tags for the web},
  url = {http://portal.acm.org/citation.cfm?id=1242686&dl=GUIDE,},
  year = {2007},
  location = {Banff, Alberta, Canada},
  isbn = {978-1-59593-654-7},
  doi = {http://doi.acm.org/10.1145/1242572.1242686},
  abstract = {The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have become more and more popular and successful. Such tags are relevant keywords associated with or assigned to a piece of information (e.g., a Web page), describing the item and enabling keyword-based classification. In this paper we propose P-TAG, a method which automatically generates personalized tags for Web pages. Upon browsing a Web page, P-TAG produces keywords relevant both to its textual content, but also to the data residing on the surfer's Desktop, thus expressing a personalized viewpoint. Empirical evaluations with several algorithms pursuing this approach showed very promising results. We are therefore very confident that such a user oriented automatic tagging approach can provide large scale personalized metadata annotations as an important step towards realizing the Semantic Web.}
}

Endnote record

%0 Conference Paper
%1 chirita2007
%A Paul Alexandru Chirita
%A Stefania Costache
%A Wolfgang Nejdl
%A Siegfried Handschuh
%B WWW '07: Proceedings of the 16th international conference on World Wide Web
%@ 978-1-59593-654-7
%C New York, NY, USA
%D 2007
%I ACM
%K 
%P 845--854
%T P-TAG: large scale automatic generation of personalized annotation tags for the web
%R http://doi.acm.org/10.1145/1242572.1242686
%U http://portal.acm.org/citation.cfm?id=1242686&dl=GUIDE,
%X The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have become more and more popular and successful. Such tags are relevant keywords associated with or assigned to a piece of information (e.g., a Web page), describing the item and enabling keyword-based classification. In this paper we propose P-TAG, a method which automatically generates personalized tags for Web pages. Upon browsing a Web page, P-TAG produces keywords relevant both to its textual content, but also to the data residing on the surfer's Desktop, thus expressing a personalized viewpoint. Empirical evaluations with several algorithms pursuing this approach showed very promising results. We are therefore very confident that such a user oriented automatic tagging approach can provide large scale personalized metadata annotations as an important step towards realizing the Semantic Web.

BibSonomy :: BibTeX ::

P-TAG: large scale automatic generation of personalized annotation tags for the web

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Abstract

BibTeX record

Endnote record