Lightweight process modeling for virtual enterprise process collaboration
This source preferred by Sherry Jeary, Lai Xu and Keith Phalp
Authors: Xu, P.
Journal: IFIP Advances in Information and Communication Technology
Volume: 336 AICT
Pages: 501-508
DOI: 10.1007/978-3-642-15961-9_60
This data was imported from DBLP:
Authors: Xu, L., Vrieze, P.D., Phalp, K., Jeary, S. and Liang, P.
Editors: Camarinha-Matos, L.M., Boucher, X. and Afsarmanesh, H.
https://doi.org/10.1007/978-3-642-15961-9
Journal: PRO-VE
Volume: 336
Pages: 501-508
Publisher: Springer
ISBN: 978-3-642-15960-2
This source preferred by Paul De Vrieze
This data was imported from Scopus:
Authors: Xu, L., De Vrieze, P., Phalp, K., Jeary, S. and Liang, P.
Journal: IFIP Advances in Information and Communication Technology
Volume: 336 AICT
Pages: 501-508
ISBN: 9783642159602
ISSN: 1868-4238
DOI: 10.1007/978-3-642-15961-9_60
Mashup is a new web 2.0 technology for data aggregation applications, combining data from different sources to create valuable information. The uses of mashups are often more data related than process related. In this paper, we explore the differences between data-oriented mashups and process-oriented enterprise mashups and consider how process mashups can be used for virtual enterprise collaboration. We highlight the modeling of end users' process mashup applications from both a control flow and a data flow perspective. Based on our analyses, a lightweight process modeling approach is proposed for process enterprise mashup applications. Our approach, illustrated by reference to an example personal collaborative activity, will support collaboration among users with different levels of modeling skills and expertise in a virtual enterprise environment. © 2010 IFIP.
This data was imported from Web of Science (Lite):
Authors: Xu, L., de Vrieze, P., Phalp, K., Jeary, S. and Liang, P.
Journal: COLLABORATIVE NETWORKS FOR A SUSTAINABLE WORLD
Volume: 336
Pages: 501-+
ISBN: 978-3-642-15960-2
ISSN: 1868-4238