Imperial College London
Alternate

ProfessorJeremyPitt

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Intelligent and Self-Organising Systems
 
 
 
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Contact

 

+44 (0)20 7594 6318j.pitt Website

 
 
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Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
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Location

 

1010Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Macbeth:2014:10.1017/S026988891400023X,
author = {Macbeth, S and Pitt, JV},
doi = {10.1017/S026988891400023X},
journal = {Knowledge Engineering Review},
pages = {237--264},
title = {Self-organising management of user-generated data and knowledge},
url = {http://dx.doi.org/10.1017/S026988891400023X},
volume = {30},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The proliferation of sensor networks, mobile and pervasive computing has provided the technological push for a new class of participatory-sensing applications, based on sensing and aggregating user-generated content, and transforming it into knowledge. However, given the power and value of both the raw data and the derived knowledge, to ensure that the generators are commensurate beneficiaries, we advocate an open approach to the data and intellectual property rights by treating user-generated content, as well as derived information and knowledge, as a common-pool resource. In this paper, we undertake an extensive review of experimental, commercial and social participatory sensory applications, from which we identify that a decentralised, community-oriented governance model is required to support this approach. Furthermore, we show that Ostrom’s institutional analysis and development framework, in conjunction with a framework for self-organising electronic institutions, can be used to give both an architecture and algorithmic base for the requisite governance model, in terms of operational and collective-choice rules specified in computational logic. This provides, we believe, the foundations for engineering knowledge commons for the next generation of participatory-sensing applications, in which the data generators are also the primary beneficiaries.
AU  - Macbeth,S
AU  - Pitt,JV
DO  - 10.1017/S026988891400023X
EP  - 264
PY  - 2014///
SN  - 1469-8005
SP  - 237
TI  - Self-organising management of user-generated data and knowledge
T2  - Knowledge Engineering Review
UR  - http://dx.doi.org/10.1017/S026988891400023X
UR  - http://hdl.handle.net/10044/1/40985
VL  - 30
ER  -
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