DocumentCode :
573338
Title :
Optimizing Service Selection in Dynamic Workflow Composition: Using Social Media to Develop Recommendations
Author :
McDowall, John ; Kerschberg, Larry
Author_Institution :
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
fYear :
2012
fDate :
24-27 July 2012
Firstpage :
535
Lastpage :
543
Abstract :
There is a nexus between information technology and the physical world, where the developments of service science intersect with the technological innovations offered by modern communication systems. When completing a business process, users rarely consume just one type of service; most business processes are a combination of both physical and electronic services. This paper examines a method for automating workflow composition from an assortment of physical and web services, and the utility of social media in recommending one composition over another based on consumer reviews.
Keywords :
Web services; business data processing; recommender systems; service-oriented architecture; Web services; business process; consumer reviews; dynamic workflow composition; electronic services; physical services; recommendations; service selection; service-oriented architecture; social media; technological innovations; Business; Media; Medical services; Semantics; Simple object access protocol; Social network services; recommender; service; social media; workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SRII Global Conference (SRII), 2012 Annual
Conference_Location :
San Jose, CA
ISSN :
2166-0778
Print_ISBN :
978-1-4673-2318-5
Electronic_ISBN :
2166-0778
Type :
conf
DOI :
10.1109/SRII.2012.66
Filename :
6311036
Link To Document :
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