SoICT 2014, December 04-05, 2014

Tutorials Speakers

Philip MOORE

LANZHOU University

Personalisation with Targeted Service Provision in
Context-Aware Systems

Abstract

Personalisation with the targeting of services to individuals and entities [an entity is: a person, place or physical or computational object] has gained considerable traction in a broad and diverse range of domains and systems. Personalising service provision is based on the profile (or context) of an entity and is generally realized in context-aware systems which are essentially decision-support systems in which potential recipients are identified and selected for targeted service provision based on their context. Context-aware systems are essentially information systems which utilize a broad and range of knowledge (contextual information). Contextual information is generally raw data processed into relevant information for use in context processing. Context-aware systems have historically been limited in their capabilities with location-based services predominating; this is arguably the result of the inherent complexity that characterizes context and context-aware systems. In this talk, context and context-awareness is considered along with the nature of contextual information and it’s processing in context-aware systems. This will be followed by an exploration of the scope and limitations of context-aware systems, consideration of future developments, and the opportunities and challenges in extending the use of context to incorporate intelligence and emotional response using quantitative and qualitative methods.

Biography

Philip Moore obtained a First Class Honors degree (B.Sc. Hons) in computing with artificial intelligence with the award of a Masters Degree (M.Sc) in computing (Internet applications) at the University of Central England in Birmingham. Following the Masters Degree he has been awarded Doctor of Engineering degree (P.hD) by the Graduate School of Engineering at Fukuoka Institute of Technology, Japan for the development of a novel generic context-processing algorithm for the delivery of personalised services in intelligent context-aware systems. His work addresses intelligent context-aware systems with the development in a range of domains including e-Healthcare (health monitoring systems), e-Learning, e-UbiComp, and financial systems including group-based decision support with semantic representation of context using Kansei Engineering. His interests include: the development of intelligent context-aware systems, data fusion with intelligent context processing, ontology-based context modelling implemented in intelligent event-driven rule-based systems, the development of data structures for context-aware systems to enable effective in-memory and persistent storage of contextual data. Additional interests include evolutionary programming including: genetic algorithms, genetic programming, simulated annealing, and particle swarm optimisation. Research is investigating context-aware systems implemented under uncertainty using ontology-based context modelling with semantic data representation of contextual information including semantic representation of context using cognitive factors and Kansei Words and the integration of emotional response into intelligent context-aware systems. His work has been published in international conference proceedings, journals, Lecture Notes in Computer Science, and books. He has served as a reviewer and a member of international program committees for international conferences, has acted as a reviewer for international computing journals, and has organised international workshops. He has received invitations to presented tutorial lectures and invited talks and has served as a workshop Chair, Track Chair, and Program Chair for International Conferences.