Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services

Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services

Nancy Alonistioti (National & Kapodistrian University of Athens, Greece)
DOI: 10.4018/978-1-60566-032-5.ch005
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This chapter introduces context-driven personalisation of service provision based on a middleware architectural approach. It describes the emerging environment on service provision, outlining the increasing requirements for personalisation as well as the state-of-the-art approaches in personalisation. A novel information space is presented to introduce the middleware architectures for personalisation in service provision. Technology enablers for context and knowledge management as well as service adaptation are also introduced, and an architectural model for the personalisation functionality is presented. The study also touches upon advanced concepts based on autonomic computing and communications to introduce future research directions.
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In the context of future mobile communications users will be able to access an abundance of services that will be typically developed by many co-operating entities. Moreover, the diversity of service access contexts, which is inevitable in the era of pervasive, “anywhere” computing, and the co-existence of different technologies caused by the evolutionary character of the transition to next generation systems, will lead to the heterogeneity of the networks and systems that support end-user application provision. This creates the requirement for applications to be optimally delivered and executed over a large diversity of infrastructures and configurations, as well as for dynamic adaptability of services to changing conditions and contexts.

The current mobile communications paradigm was not built to support this evolution. The requirements deriving from the service and access methods diversity and heterogeneity are new to the traditionally vertically integrated and closed telecommunications environment thus disallowing an open service access, which would lead to a larger variety of choice and better quality of service for the user. Traditional architectures have, therefore, not taken under consideration the multiple capabilities that unfold in favour of the end-user. Considering that it would not be feasible to develop separate versions for different execution contexts, applications should be to a large extent agnostic of the environment they run on. Intelligent mechanisms should exist for identifying the context and the particular high-level requirements of an application and mapping them to appropriate reconfiguration operations on the underlying hardware and software infrastructure. To this end, context management, knowledge building and the respective decision making process are key factors for the service personalisation and system adaptation in future mobile communications. A need for middleware platforms, that will abstract this management load and complexity and enable an end-user seamless service experience, emerges.

In order to address these requirements this chapter is organised as follows: The first section (“Personalisation aspects and evolution from state of the art”) includes state-of-the-art and beyond on personalisation aspects. More specifically, the first subsection provides information about the notion of personalisation in the 3G world as well as basic concepts that compose the current approach in personalisation. It also introduces the terms of user context, user profile, profile management and context awareness. The next subsection (“Personalisation aspects—State of The Art”) presents in more details specific personalisation aspects: profile and context awareness, information representation and information repositories. The following subsection outlines the corresponding progress beyond-state-of-the-art: a novel information space for personalisation and the ontological representation of contextual information in the vision of reconfigurable and autonomic systems.

The next section discusses solutions for personalised service provision through middleware architectures. More specifically, several object-oriented architectures together with relevant standardisation activities are presented in the first subsection. In the same sense, a number of personalisation aspects are discussed in the following subsection focusing on functional issues (“Functional Issues for Personalisation”); profile, context and knowledge management mechanisms, as well as service adaptation issues are therein included. Furthermore, the next subsection presents an integrated middleware framework for personalised service provision support.

The section that follows initiates a discussion about advanced concepts in personalised service provision such as situation awareness, autonomic features in service management (service provision, service adaptation etc) as well as the corresponding evolution of middleware solutions. More specifically, it comprises two subsections which present characteristic features on autonomic computing and communications as well as a discussion on personalised service provision and adaptation in the context of autonomic communications.

Finally, this chapter concludes on the innovative approaches and differentiations of current approaches in service personalisation aspects. Points to future research directions have been added to further guide the interested user.

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Editorial Advisory Board
Table of Contents
Barry Smyth
Constantinos Mourlas, Panagiotis Germanakos
Constantinos Mourlas, Panagiotis Germanakos
Chapter 1
Nikos Tsianos, Panagiotis Germanakos, Zacharias Lekkas, Constantinos Mourlas
The plethora of information and services as well as the complicated nature of most Web structures intensify the navigational difficulties that arise... Sample PDF
Assessment of Human Factors in Adaptive Hypermedia Environments
Chapter 2
Barry Smyth
Everyday hundreds of millions of users turn to the World-Wide Web as their primary source of information during their educational, business and... Sample PDF
Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation
Chapter 3
Sherry Y. Chen
Web-based instruction is prevalent in educational settings. However, many issues still remain to be investigated. In particular, it is still open... Sample PDF
The Effects of Human Factors on the Use of Web-Based Instruction
Chapter 4
Gulden Uchyigit
Coping with today’s unprecedented information overload problem necessitates the deployment of personalization services. Typical personalization... Sample PDF
The Next Generation of Personalization Techniques
Chapter 5
Nancy Alonistioti
This chapter introduces context-driven personalisation of service provision based on a middleware architectural approach. It describes the emerging... Sample PDF
Advanced Middleware Architectural Aspects for Personalised Leading-Edge Services
Chapter 6
Syed Sibte Raza Abidi
This chapter introduces intelligent information personalization as an approach to personalize the webbased information retrieval experiences based... Sample PDF
Intelligent Information Personalization: From Issues to Strategies
Chapter 7
Babis Magoutas
This chapter introduces a semantically adaptive interface as a means of measuring the quality of egovernment portals, based on user feedback. The... Sample PDF
A Semantically Adaptive Interface for Measuring Portal Quality in E-Government
Chapter 8
Fabio Grandi, Federica Mandreoli, Riccardo Martoglia, Enrico Ronchetti, Maria Rita Scalas
While the World Wide Web user is suffering form the disease caused by information overload, for which personalization is one of the treatments which... Sample PDF
Ontology-Based Personalization of E-Government Services
Chapter 9
Maria Golemati, Costas Vassilakis, Akrivi Katifori, George Lepouras, Constantin Halatsis
Novel and intelligent visualization methods are being developed in order to accommodate user searching and browsing tasks, including new and... Sample PDF
Context and Adaptivity-Driven Visualization Method Selection
Chapter 10
Honghua Dai
Web usage mining has been used effectively as an approach to automatic personalization and as a way to overcome deficiencies of traditional... Sample PDF
Integrating Semantic Knowledge with Web Usage Mining for Personalization
Chapter 11
Constantinos Mourlas
One way to implement adaptive software is to allocate resources dynamically during run-time rather than statically at design time. Design of... Sample PDF
Adaptive Presentation and Scheduling of Media Streams on Parallel Storage Servers
Chapter 12
Gheorghita Ghinea
This study investigated two dimensions of cognitive style, including Verbalizer/Imager and Field Dependent/ Field Independent and their influence on... Sample PDF
Impact of Cognitive Style on User Perception of Dynamic Video Content
Chapter 13
Mathias Bauer, Alexander Kröner, Michael Schneider, Nathalie Basselin
Limitation of the human memory is a well-known issue that anybody has experienced. This chapter discusses typical components and processes involved... Sample PDF
Building Digital Memories for Augmented Cognition and Situated Support
Chapter 14
Rafael Morales, Nicolas Van Labeke, Paul Brna, María Elena Chan
It is believed that, with the help of suitable technology, learners and systems can cooperate in building a sufficiently accurate learner model they... Sample PDF
Open Learner Modelling as the Keystone of the Next Generation of Adaptive Learning Environments
Chapter 15
Klaus Jantke, Christoph Igel, Roberta Sturm
Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most... Sample PDF
From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior
Chapter 16
Violeta Damjanovic, Milos Kravcik
The process of training and learning in Web-based and ubiquitous environments brings a new sense of adaptation. With the development of more... Sample PDF
Using Emotional Intelligence in Personalized Adaptation
Chapter 17
Yang Wang
This chapter presents a first-of-its-kind survey that systematically analyzes existing privacy-enhanced personalization (PEP) solutions and their... Sample PDF
Technical Solutions for Privacy- Enhanced Personalization
About the Contributors