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Bridging the gap between the business and social worlds: A data artifact-driven approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Zakaria Maamar, Zayed University
  • Vanilson Burégio, Universidade Federal Rural de Pernambuco
  • Mohamed Sellami, ISEP Paris
  • Nelson Souto Rosa, Universidade de Pernambuco
  • Zhengshuai Peng, ISEP Paris
  • Zachariah Subin, ISEP Paris
  • Nayana Prakash, ISEP Paris
  • Djamal Benslimane, Université Claude Bernard Lyon 1
  • Roosevelt Silva, Recife Center for Advanced Studies and Systems
Document Type
Article
Publication Date
1-1-2017
Abstract

© Springer-Verlag GmbH Germany 2017. The widespread adoption of Web 2.0 applications has forced enterprises to rethink their ways of doing business. To support enterprises in their endeavors, this paper puts forward business-data artifact and social-data artifact to capture, respectively, the intrinsic characteristics of the business world (associated with business process management systems) and social world (associated with Web 2.0 applications), and, also, to make these two worlds work together. While the research community has extensively looked into business-data artifacts, there is a limited knowledge about/interest in social-data artifacts. This paper defines social-data artifact, analyzes the interactions between business- and social-data artifacts, and develops an architecture to support these interactions. For demonstration purposes, an implementation of a socially-flavored faculty-hiring scenario is discussed in the paper. The implementation calls for specialized components known as social machines that support artifact interaction.

Publisher
Springer Berlin Heidelberg
Keywords
  • Business-data artifact,
  • Social machine,
  • Social-data artifact,
  • Web 2.0 application
Scopus ID
85033787572
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-662-56121-8_2
Citation Information
Zakaria Maamar, Vanilson Burégio, Mohamed Sellami, Nelson Souto Rosa, et al.. "Bridging the gap between the business and social worlds: A data artifact-driven approach" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10680 LNCS (2017) p. 27 - 49 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/zakaria-maamar/63/