Skip to main navigation Skip to search Skip to main content

Bridging the gap between the business and social worlds: A data artifact-driven approach

  • Zakaria Maamar
  • , Vanilson Burégio
  • , Mohamed Sellami
  • , Nelson Souto Rosa
  • , Zhengshuai Peng
  • , Zachariah Subin
  • , Nayana Prakash
  • , Djamal Benslimane
  • , Roosevelt Silva
  • Zayed University
  • Federal Rural University of Pernambuco
  • ISEP Paris
  • Federal University of Pernambuco (UFPE)
  • IGFL, Université de Lyon, Université Lyon 1
  • Recife Center for Advanced Studies and Systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages27-49
Number of pages23
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10680 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Business-data artifact
  • Social machine
  • Social-data artifact
  • Web 2.0 application

Fingerprint

Dive into the research topics of 'Bridging the gap between the business and social worlds: A data artifact-driven approach'. Together they form a unique fingerprint.

Cite this