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Authors: Bharath Rao and Arila Atanassova-Barnes

Affiliation: GE Software, United States

Keyword(s): Context, Graph theory, IoT, Industrial Internet, Modeling.

Abstract: Traditionally, context in software is modeled as a global variable, static class, or similar mechanisms that are initialized when an application is loaded and updated periodically through the lifetime of the application as the end user interacts with instructions. This approach is limited to customizations, personalization and initialization based on previously captured, mostly static information. It is a replay of a previous state. In this paper we propose a new approach to defining and modeling context for software applications using graphs. Context is fundamentally interaction-based and comes into play when one entity interacts with another to achieve a goal in a given environment constrained by time and location. By capturing the interactions between entities in a graph, context becomes emergent rather than declarative and can be learned from user interactions. The context is discovered by first-degree graph traversal of interacting entities. The discovered context is used to ach ieve context sensitive goals in environments with a large number of interconnected entities such as the Internet of Things (IoT). (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rao, B. and Atanassova-Barnes, A. (2015). Context Emergence Using Graph Theory - Defining and Modeling Context for Industrial Assets Using Graphs. In Proceedings of the Fifth International Symposium on Business Modeling and Software Design - BMSD; ISBN 978-989-758-111-3, SciTePress, pages 213-217. DOI: 10.5220/0005887302130217

@conference{bmsd15,
author={Bharath Rao. and Arila Atanassova{-}Barnes.},
title={Context Emergence Using Graph Theory - Defining and Modeling Context for Industrial Assets Using Graphs},
booktitle={Proceedings of the Fifth International Symposium on Business Modeling and Software Design - BMSD},
year={2015},
pages={213-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005887302130217},
isbn={978-989-758-111-3},
}

TY - CONF

JO - Proceedings of the Fifth International Symposium on Business Modeling and Software Design - BMSD
TI - Context Emergence Using Graph Theory - Defining and Modeling Context for Industrial Assets Using Graphs
SN - 978-989-758-111-3
AU - Rao, B.
AU - Atanassova-Barnes, A.
PY - 2015
SP - 213
EP - 217
DO - 10.5220/0005887302130217
PB - SciTePress