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
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;
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
DOI :
10.1109/CSCWD.2012.6221823