An ontology supporting planning, analysis, and simulation of evolving Digital Ecosystems

TY - CHAP

T1 - An ontology supporting planning, analysis, and simulation of evolving Digital Ecosystems

AU - Biermann, Johannes

AU - Corubolo, Fabio

AU - Eggers, Anna

AU - Waddington, Simon

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Digital Ecosystems (DEs) are interwoven networks of Digital Objects (DOs), policies, processes, services and user communities, within constantly changing and interacting environments. Their complex grown structures can be difficult to maintain and it can be hard to foresee the impact of planned and unplanned change. The PERICLES EU FP7 project developed the Digital Ecosystem Model (DEM), an ontology to model those complex DEs for supporting their maintenance and preservation. It provides concepts to express dependencies, provenance and analysis. Planned or unplanned changes to a DE represented via the DEM can be simulated in advance to analyse and mitigate risks, and to assure the quality of the DE architecture. PERICLES developed the EcoBuilder tool to support scenario experts in modelling aspects of interests of their DEs with the DEM for further investigation and maintenance. The DEM can be extended by domain specific ontologies to support various use cases of different domains, e.g. The digital media and art domains for which specialised ontologies [10] are developed in PERICLES. This approach supports documentation of the entities and their environments not only for preservation purposes, but also for the management of environmental drift in a wider range of domains, such as the digital ecosystems of Internet of Things (IoT), which we used as example in this paper. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

AB - Digital Ecosystems (DEs) are interwoven networks of Digital Objects (DOs), policies, processes, services and user communities, within constantly changing and interacting environments. Their complex grown structures can be difficult to maintain and it can be hard to foresee the impact of planned and unplanned change. The PERICLES EU FP7 project developed the Digital Ecosystem Model (DEM), an ontology to model those complex DEs for supporting their maintenance and preservation. It provides concepts to express dependencies, provenance and analysis. Planned or unplanned changes to a DE represented via the DEM can be simulated in advance to analyse and mitigate risks, and to assure the quality of the DE architecture. PERICLES developed the EcoBuilder tool to support scenario experts in modelling aspects of interests of their DEs with the DEM for further investigation and maintenance. The DEM can be extended by domain specific ontologies to support various use cases of different domains, e.g. The digital media and art domains for which specialised ontologies [10] are developed in PERICLES. This approach supports documentation of the entities and their environments not only for preservation purposes, but also for the management of environmental drift in a wider range of domains, such as the digital ecosystems of Internet of Things (IoT), which we used as example in this paper. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

UR - http://www.scopus.com/inward/record.url?scp=85009821077&partnerID=8YFLogxK

U2 - 10.1145/3012071.3012081

DO - 10.1145/3012071.3012081

M3 - Conference paper

AN - SCOPUS:85009821077

SN - 9781450342674

SP - 26

EP - 33

BT - 8th International Conference on Management of Digital EcoSystems, MEDES 2016

PB - Association for Computing Machinery, Inc

T2 - 8th International Conference on Management of Digital EcoSystems, MEDES 2016

Y2 - 1 November 2016 through 4 November 2016

ER -