Situation-based testing for ubiquitous computing systems
Citation:
Eleanor O'Neill, 'Situation-based testing for ubiquitous computing systems', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011, pp 240Download Item:
Abstract:
A common trend in modern applications is the move towards more mobile, adaptive,
customisable software. The evolution of software from static, invariant tools for
narrow portions of a task to adaptive, open interaction frameworks is embodied in
the use of a variety of technologies for creating a reconfigurable application. The
key challenge to improving application behaviour in response to external knowledge
is in making the representation of that external knowledge compatible with the
application’s representation. This external information, relevant to the user and their
task is commonly known as context information. In the past, context information
has typically been integrated using an a-priori model of context, which constrains
the type of information which can be used as context. This thesis presents a model
for context integration which does not depend on an a-priori model of context.
This thesis presents a novel approach to integrating contextual information through
the use of a context mediator based on ontology mediation. This context-informed
semantic interoperation approach is based on the exchange of both schema and
instance data, in the form of ontologies, between heterogeneous sources of context
and a target application. The mediator represents the collective knowledge of a
contextual situation by linking ontologies in their native form through a shared
semantic view. The approach is innovative in that it combines user-defined and
ontological reasoning to provide a more expressive method for bridging differences in
representations between different sources and their target without an a-priori model.
It demonstrates the use of semantic interoperation as an approach to allowing richer
knowledge exchange between applications and their surroundings.
Author: O'Neill, Eleanor
Advisor:
Lewis, DaveQualification name:
Doctor of Philosophy (Ph.D.)Publisher:
Trinity College (Dublin, Ireland). School of Computer Science & StatisticsNote:
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