@inproceedings{chirita2007ptag,
  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.},
  address = {New York, NY, USA},
  author = {Chirita, Paul Alexandru and Costache, Stefania and Nejdl, Wolfgang and Handschuh, Siegfried},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242686},
  interhash = {93612f3a17257a5d0d73e95d59d0c408},
  intrahash = {58f1705eb270c20c6aaea2377f88e664},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  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
}

@inproceedings{brunkhorst2006beagle,
  abstract = {The rapidly increasing quantity and diversity of data stored on our PCs made locating information in this environment very difficult. Consequently, recent research has focussed on building semantically enhanced systems for either organizing or searching data on the desktop. Building on previous work, in this paper we present the Beagle++ toolbox, a set of extendable building blocks for implementing such a system. The corresponding modular desktop search architecture integrates our previously developed metadata generators and ranking components, uses an RDF database to share data between components, and can easily integrate other external components to improve desktop search quality. Additionally, we provide implementation details about all our current components, how they interact with each other, and how to install the complete system on top of a Linux distribution.},
  author = {Brunkhorst, Ingo and Chirita, Paul Alexandru and Costache, Stefania and Gaugaz, Julien and Ioannou, Ekaterini and Iofciu, Tereza and Minack, Enrico and Nejdl, Wolfgang and Paiu, Raluca},
  booktitle = {Proceedings of the Semantic Desktop and Social Semantic Collaboration Workshop (SemDesk 2006) at the 5th International Semantic Web Conference ISWC 2006},
  editor = {Decker, Stefan and Park, Jack and Sauermann, Leo and Auer, Sören and Handschuh, Siegfried},
  interhash = {0e643a96576d17cbdb49c2c8210c40dd},
  intrahash = {22e23038e827d350db073cebc7ba9133},
  issn = {1613-0073},
  month = nov,
  series = {CEUR-WS.org},
  title = {The Beagle++ Toolbox: Towards an Extendable Desktop Search Architecture},
  url = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-202/SEMDESK2006_0028.pdf},
  volume = 202,
  year = 2006
}

@inproceedings{chirita2008ptag,
  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.},
  address = {New York, NY, USA},
  author = {Chirita, Paul Alexandru and Costache, Stefania and Nejdl, Wolfgang and Handschuh, Siegfried},
  booktitle = {WWW '07: Proceedings of the 16th International Conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242686},
  interhash = {93612f3a17257a5d0d73e95d59d0c408},
  intrahash = {e4656fefb25cbbff07cfba226601a6e7},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  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},
  year = 2007
}

@inproceedings{DBLP:conf/esws/ChiritaCNP06,
  author = {Chirita, Paul-Alexandru and Costache, Stefania and Nejdl, Wolfgang and Paiu, Raluca},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {ESWC},
  crossref = {DBLP:conf/esws/2006},
  ee = {http://dx.doi.org/10.1007/11762256_27},
  interhash = {6e4a61612c26e6b01bcb3855431a6892},
  intrahash = {133b2f8c293a226ce9928631abaf5114},
  pages = {348-362},
  title = {Beagle$^{\mbox{++}}$: Semantically Enhanced Searching and Ranking on the Desktop.},
  year = 2006
}

@inproceedings{cgnp05semantically,
  address = {Galway, Ireland},
  author = {Chirita, Paul-Alexandru and Ghita, Stefania and Nejdl, Wolfgang and Paiu, Raluca},
  booktitle = {Proceedings of the 1st Workshop on The Semantic Desktop at the ISWC 2005 Conference},
  day = {6.},
  editor = {Decker, Stefan and Park, Jack and Quan, Dennis and Sauermann, Leo},
  interhash = {397602bc2da1ef6d7fa9005c45670eaa},
  intrahash = {77c7ed5117982df060cec23b87a5342b},
  month = {November},
  pages = {92 - 106},
  title = {Semantically Enhanced Searching and Ranking on the Desktop},
  year = 2005
}