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Digital Identity and Reputation in the Context of a Bounded Social Ecosystem

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Business Process Management Workshops (BPM 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 17))

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Abstract

This paper highlights the problem of digital identity, or cross-set unique identifying tokens, inherent in the application of social software in business processes. As social software, via blogs, wikis and other Web 2.0 software, starts to bring value to the enterprise, there is a need for a unified digital identity resource. From this basis, concepts of reputation and trust may be leveraged in the context of human agents working with such software and in larger workflow processes. By analysing human agent activity within existing data sets and providing a mechanism for adding new data, it is possible to correlate human agent activities and data creation via a digital identity across disparate sources of data. From this basis, new business processes may be created using this deeper understanding of human agents. This paper highlights the need for digital identity and presents a novel method for extracting digital identity patterns from heterogeneous data sets in an automated manner.

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Author information

Authors and Affiliations

  1. University College London, London, UK

    Ben Jennings & Anthony Finkelstein

Authors
  1. Ben Jennings
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  2. Anthony Finkelstein
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Golgi 40, 20133, Milano, Italy

    Danilo Ardagna

  2. Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Via Salaria 113,, 00198, Roma, Italy

    Massimo Mecella

  3. Department of Computing, Macquarie University, 2109, Sydney, NSW, Australia

    Jian Yang

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Jennings, B., Finkelstein, A. (2009). Digital Identity and Reputation in the Context of a Bounded Social Ecosystem. In: Ardagna, D., Mecella, M., Yang, J. (eds) Business Process Management Workshops. BPM 2008. Lecture Notes in Business Information Processing, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00328-8_69

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  • DOI: https://doi.org/10.1007/978-3-642-00328-8_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00327-1

  • Online ISBN: 978-3-642-00328-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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