Supporting context-aware engineering based on stream reasoning

Kramer, Dean and Augusto, Juan Carlos (2017) Supporting context-aware engineering based on stream reasoning. In: CONTEXT'17: 10th International and Interdisciplinary Conference on Modeling and Using Context, 20-23 June 2017, Paris, France.

[img]
Preview
PDF - Final accepted version (with author's formatting)
Download (562kB) | Preview

Abstract

In a world of increasing dynamism, context-awareness gives promise through the ability to detect changes in the context of devices, environment, and people. Equally, with stream reasoning using languages including C-SPARQL, continuous streams of raw data in RDF can be reasoned over for context awareness. Writing many context queries and rules this way can however be error prone, and often contains boilerplate. In this paper, we present a context modelling notation designed to support the creation of context-awareness based on stream reasoning systems. In validating our language there is tool support which, amongst other benefits, can generate context queries in C-SPARQL and context aggregation rules for higher level context knowledge processing. An Android compatible mobile platform context reasoner was developed which can handle these deployable context rules. This methodology and associated tools has been validated as part of an EU funded project.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Paper published as: Kramer D., Augusto J.C. (2017) Supporting Context-Aware Engineering Based on Stream Reasoning. In: Br├ęzillon P., Turner R., Penco C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science, vol 10257. Springer, Cham
Keywords (uncontrolled): context-awareness, stream reasoning, context modelling
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 21461
Notes on copyright: The final publication will be available at Springer (https://link.springer.com/) via http://dx.doi.org/10.1007/978-3-319-57837-8_37
Useful Links:
Depositing User: Juan Augusto
Date Deposited: 23 Feb 2017 16:38
Last Modified: 06 Sep 2018 09:39
URI: http://eprints.mdx.ac.uk/id/eprint/21461

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year