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
Link To Document