An Object Model for Sensor Data Integration
Dalen Kambur, School of Computing, DCU, Glasnevin, Dublin, Ireland
Mark Roantree and
John Murphy
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Abstract
One example of large volumes of distributed data is that of sensor networks, where
dedicated sensing equipment is used to monitor events and happenings in a wide range
of domains, including monitoring human biometrics. In areas such as Personalised
Health, large volumes of data are generated to provide an early indication of potential
health problems. Our research is focused on sensor data that has been enriched in the
form of XML trees, so that each sensor device can be regarded as an XML tree, and
in some cases, containing services. While this architecture offers a certain degree of
interoperability, current Web Services approaches are not suited to the difficult tasks
of integration, restructuring of information and global issues such as updates. While a
Web Services approach offers the advantage of loose coupling of data sources, a more
formal model is required to underpin the sensor network. In this paper we describe our
Object-Reference model (ORef), which extends a standard object-oriented model with
references as the sole concept for locating objects (sensor objects) and their properties,
and where the basic object-oriented modelling primitives are respecified to incorporate
references. References are also used to define transformations present in the model
in the sense that they are closed, meaning that each transformation operates on one
or more objects, and results in one or more objects. The purpose of this model is to
provide a stable bedrock for the loose coupling of data sources and services in an XML
sensor network.
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About the author
Dalen Kambur, Mark Roantree, and John Murphy: "An Object Model for Sensor Data Integration", in Journal of Object Technology, vol. 7, no. 8, November-December 2008, pp. 97-117 http://www.jot.fm/issues/issue_2008_11/article2/
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