Knowledge elicitation and formalisation for context and explanation-aware computing with case-based recommender systems

Sauer, Christian (2016) Knowledge elicitation and formalisation for context and explanation-aware computing with case-based recommender systems. Doctoral thesis, University of West London.

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Case-based reasoning (CBR), as one of the problem solving paradigms in the
field of Artificial Intelligence (AI), is an approach to the re-use of experience to
solve problem. The aim of this research was to identify and evaluate existing
and new approaches to elicit and formalise knowledge for context-aware systems
as well as systems that are able to perform explanation-aware computing.
The research was centred on systems that employ the specific AI approach of
CBR. The research identified positive and negative effects of knowledge formalisation
as well as synergies of knowledge formalisation for context-awareness
and explanation-aware computing. The research focused on a set of specific
knowledge sources such as sensors, human experts, online sources such as web
communities and social media as well as a combination of these sources. A set
of knowledge formalisation approaches was evaluated during the implementation
of six prototype systems, representing a series of product- and work-flow recommender
systems. Example domains for the systems developed include
CBR-based recommendation in audio mastering, gold ore refinement and travel
medicine. Test data gathered from real-world use of the prototypes formed the
basis for a quantitative and qualitative analysis to establish the performance and
quality of the knowledge formalisation approaches used within the prototypes
development. The outcome of this research work consists of new approaches
to knowledge elicitation and formalisation for expert work-flow recommender
systems, new approaches to context- and explanatory-knowledge formalisation
in combination with software engineering techniques, new approaches to
knowledge extraction and formalisation from web sources and contributions to
the further development of the myCBR 3 software, an open source software for
the rapid prototyping of CBR systems.

Item Type: Thesis (Doctoral)
Subjects: Computing
Depositing User: Christian Sauer
Date Deposited: 27 May 2016 15:17
Last Modified: 26 Jan 2017 13:38

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