• DocumentCode
    484911
  • Title

    PAS: A Pervasive Annotation System for Web Resources

  • Author

    Zhao, Yang ; Zhang, Yong ; Xing, Chunxiao ; Sun, Yigang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    The traditional annotation technologies focus on the content of the resources which is normally done by the system managers. There are some Web applications which allow users to annotate the resources besides the content; we call this phenomenon as pervasive annotation. This paper defines the pervasive annotation as a correlative procedure of tag assignation, rating, description and usage status marking to the Web resources. This paper investigates these pervasive annotation technologies and discusses their usage in the personalized services such as recommendation and presentation. We design and implement a pervasive annotation system (PAS) using service component architecture (SCA). The application of this system shows that PAS can help user manage the Web resources more conveniently and efficiently by pervasive annotation, and get required Web resource recommended through information filtering.
  • Keywords
    Internet; information filtering; object-oriented programming; software architecture; ubiquitous computing; PAS; Web resources; information filtering; personalized services; pervasive annotation system; service component architecture; tag assignation; Component architectures; Computer science; Content management; Information filtering; Information science; Laboratories; Resource management; Sparse matrices; Tagging; Technology management; Information Filtering; Personalized Services; Pervasive Annotation; SCA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783557
  • Filename
    4783557