• DocumentCode
    2374650
  • Title

    eMail Mining: Knowledge intensive process discovery through e-mails

  • Author

    Soares, Diego Carvalho ; Santoro, Flávia Maria ; Baião, Fernanda Araujo

  • Author_Institution
    Res. & Practice Group in Inf. Technol. (NP2Tec), Fed. Univ. of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    228
  • Lastpage
    235
  • Abstract
    Process-Oriented Knowledge Management aims at identifying, modeling, analyzing and refining Knowledge Intensive Processes (KIP). The amount of knowledge embedded in the execution of the activities within these processes constitutes the essence of organizational knowledge, what makes the discovery of the KIP relevant as primary support for knowledge management. Information shared while using collaborative tools - such as e-mails - are important sources for understanding KIP. This paper presents eMail Mining, a method for the automatic discovery of relevant information that characterizes knowledge intensive processes, from the informal exchange of existing knowledge in e-mails.
  • Keywords
    data mining; electronic mail; knowledge management; KIP; automatic discovery; collaborative tools; e-mails; eMail mining; knowledge intensive process discovery; process-oriented knowledge management; Electronic mail; Fires; Indexes; Media; Knowledge Intensive Process; Natural Language Processing; Process Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-1211-0
  • Type

    conf

  • DOI
    10.1109/CSCWD.2012.6221823
  • Filename
    6221823