DocumentCode :
3284620
Title :
Intelligent message distribution in corporate expert communities
Author :
Langen, Manfred ; Heiss, Michael ; Mayerdorfer, Thomas ; Kammergruber, Walter C.
Author_Institution :
Siemens AG, Munich, Germany
fYear :
2012
fDate :
18-20 June 2012
Firstpage :
1
Lastpage :
9
Abstract :
The basic challenge of information management is to provide useful information to the right people in a given situation, such as for problem solving. In a company, semantic technologies in combination with enterprise social media applications can be applied for the identification of experts in a required field of expertise. Our approach uses the Web 3L model, a 3-layer structure of networks which includes relations from social and semantic networks. It is shown how this model can be used to target the right crowd for corporate problem solving. The distribution of urgent requests in an internal knowledge networking tool is described as a real world example that is used in a productive environment.
Keywords :
information retrieval; problem solving; semantic Web; social networking (online); Web 3L model; corporate expert communities; corporate problem solving; enterprise social media applications; information management; intelligent message distribution; internal knowledge networking tool; semantic networks; semantic technologies; social networks; Companies; Semantics; Software; Tagging; Technological innovation; Crowdsourcing; Message Distribution; Semantic Web; Social Media; Tagging; Urgent Request;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering, Technology and Innovation (ICE), 2012 18th International ICE Conference on
Conference_Location :
Munich
Print_ISBN :
978-1-4673-2273-7
Electronic_ISBN :
978-1-4673-2274-4
Type :
conf
DOI :
10.1109/ICE.2012.6297689
Filename :
6297689
Link To Document :
بازگشت