Rule-Based Semantic Sensing

Pete R Woznowski; Alun Preece

Rule-Based Semantic Sensing

Pete R Woznowski, Alun Preece

Department of Electrical & Electronic Engineering

Research output: Contribution to conference › Conference Paper › peer-review

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Abstract

Rule-Based Systems have been in use for decades to solve a variety of problems but not in the sensor informatics domain. Rules aid the aggregation of low-level sensor readings to form a more complete picture of the real world and help to address 10 identified challenges for sensor network middleware. This paper presents the reader with an overview of a system architecture and a pilot application to demonstrate the usefulness of a system integrating rules with sensor middleware.

Original language	English
Pages	9-16
Number of pages	8
Publication status	Published - 5 Jul 2011
Event	5th International Symposium on Rules - Barcelona, Spain Duration: 19 Jul 2011 → 21 Jul 2011 http://2011.ruleml.org/europe

Conference

Conference	5th International Symposium on Rules
Abbreviated title	Rule ML 2011
Country/Territory	Spain
City	Barcelona
Period	19/07/11 → 21/07/11
Internet address	http://2011.ruleml.org/europe

Keywords

Computer Science
Artificial Intelligence

Access to Document

1107.2087v1Accepted author manuscript, 660 KB

https://arxiv.org/abs/1107.2087

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AU - Preece, Alun

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AB - Rule-Based Systems have been in use for decades to solve a variety of problems but not in the sensor informatics domain. Rules aid the aggregation of low-level sensor readings to form a more complete picture of the real world and help to address 10 identified challenges for sensor network middleware. This paper presents the reader with an overview of a system architecture and a pilot application to demonstrate the usefulness of a system integrating rules with sensor middleware.

KW - Computer Science

KW - Artificial Intelligence

M3 - Conference Paper

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T2 - 5th International Symposium on Rules

Y2 - 19 July 2011 through 21 July 2011

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Rule-Based Semantic Sensing

Abstract

Conference

Keywords

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