Lightweight Process Modeling for Virtual Enterprise Process Collaboration

This source preferred by Sherry Jeary, Lai Xu and Keith Phalp

Authors: Xu, P.

http://www.scopus.com/inward/record.url?eid=2-s2.0-78449273272&partnerID=40&md5=7b4b27b06215317ea51d36dd0f9ea376

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

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

The data on this page was last updated at 04:58 on September 20, 2018.