Maria Strimpakou

National Technical University of Athens

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Ioanna Roussaki

Institute of Communication and Computer Systems

Carsten Pils

Waterford Institute of Technology

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Μιλτιάδης Αναγνώστου

National Technical University of Athens

Nikos Kalatzis

National Technical University of Athens

Nicolas Liampotis

National Infrastructures for Research and Technology - GRNET S.A

Enrique Vázquez

Universidad Politécnica de Madrid

Anastasia Kaltabani

National Technical University of Athens

Francisco Valera

Universidad Carlos III de Madrid

Luis Bellido

Universidad Politécnica de Madrid

Irene Sygkouna

National Technical University of Athens

Cooperative Institutions

National Technical University of Athens

National and Kapodistrian University of Athens

Institute of Communication and Computer Systems

Heriot-Watt University

Universidad Politécnica de Madrid

European Telecommunications Standards Institute

Bridge University

Google (United States)

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

INTRASOFT International (Greece)

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Privacy-Aware Modelling and Distribution of Context Information in Pervasive Service Provision

Ioanna Roussaki Maria Strimpakou Carsten Pils Nikos Kalatzis M. Neubauer

Context awareness is an essential cornerstone in future pervasive computing systems. It has the potential to greatly reduce the user attention and interaction bottlenecks, to give humans the impression that services fade into the background, and to support intelligent personalization features. Nevertheless, in order to create such an environment, a growing amount of personal information has to be provided to the system, either manually or automatically. Hence the digital trace and representation users have in the system is getting dangerously detailed, thus stressing the need for privacy protection. DAIDALOS (Satyanarayanan, 2001) is a European research project in the area of 3G and beyond, which aims to combine heterogeneous networks in a transparent and seamless way, and develop on top of this a pervasive environment for applications and end-users. This paper describes the main models and mechanisms that have been established to provide federated context-aware services and protect the privacy of their users

Cornerstone

TRACE (psycholinguistics)

Context awareness

10.1109/perser.2006.1652219

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Citations (9)

Optimising context data dissemination and storage in distributed pervasive computing systems

Pervasive and Mobile Computing (2009)

Ioanna Roussaki Maria Strimpakou Carsten Pils Nikos Kalatzis Nicolas Liampotis

Context management

Distributed data store

Distributed database

Spatial contextual awareness

10.1016/j.pmcj.2009.07.015

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Citations (5)

Seamless Incorporation of Agents in an E-Commerce Intermediation Platform

Lecture notes in computer science (2002)

Irene Sygkouna Maria Strimpakou Francisco Valera Anastasia Kaltabani Luis Bellido

Intermediation

Realization (probability)

Business object

10.1007/3-540-36086-7_27

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Citations (1)

COMPACT: Middleware for context representation and management in pervasive computing

International Journal of Pervasive Computing and Communications (2006)

Maria Strimpakou Ioanna Roussaki Carsten Pils Μιλτιάδης Αναγνώστου

Context awareness is one of the key aspects of pervasive computing systems. In such systems, a plethora of dynamic context information needs to be constantly retrieved, soundly interpreted, rapidly processed, maintained in various repositories, and securely disseminated. Thus, a flexible, scalable and interoperable context representation scheme needs to be established and solid context management mechanisms need to be adopted, which will perform well in large‐scale distributed pervasive systems. This paper elaborates on the COMPACT context middleware that has been designed to cope with the issues above and saturate pervasive computing environments with context awareness functionality.

Context awareness

Context-aware pervasive systems

End-user computing

Representation

Context management

10.1108/17427370780000153

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Citations (14)

User-centric inference based on history of context data in pervasive environments

Nikos Kalatzis Ioanna Roussaki Nicolas Liampotis Maria Strimpakou Carsten Pils

Pervasive computing systems need to be strongly proactive. Context-awareness contributes to this, thus minimizing human-machine interaction. Context-aware systems are greatly enhanced by the utilization of recorded history of the users' situations and interactions. In this paper, an approach is proposed for modelling, storing and exploiting history-of-context, in order to predict or estimate context information. The proposed framework is context-type-independent, requires minimal processing and storage resources, and can be used for data compression. It is based on multiple context prediction rule generation models, demonstrates high prediction success ratio, and has been empirically evaluated via extensive experiments.

Context model

Context awareness

10.1145/1387309.1387316

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Citations (7)

A context ontology for pervasive service provision

Maria Strimpakou Ioanna Roussaki Μιλτιάδης Αναγνώστου

Pervasive computing systems that strive to be minimally intrusive and exhibit inherent proactiveness and dynamic adaptability to the user preferences and environment need to be context-aware. Context-awareness provides computing environments with the ability to adapt the services or content they provide, by implicitly sensing and automatically deriving the users' needs from the context that surrounds them, making services more attentive, responsive and predictive. This paper is concerned with the development of an ambient context management system that aims to maximize the automation of the complete context knowledge lifecycle via the establishment of flexible prototype context ontology.

Adaptability

Context management

Context awareness

Context model

10.1109/aina.2006.15

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Citations (48)

Distributed Context Retrieval and Consistency Control in Pervasive Computing

Journal of Network and Systems Management (2007)

Ioanna Roussaki Maria Strimpakou Carsten Pils

Context management

Context awareness

10.1007/s10922-006-9053-6

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Citations (13)

Location-Based Context Retrieval and Filtering

Lecture notes in computer science (2006)

Carsten Pils Ioanna Roussaki Maria Strimpakou

Context model

10.1007/11752967_17

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Citations (12)

Distributed Context Management in Support of Multiple Remote Users

IGI Global eBooks (2009)

Ioanna Roussaki Maria Strimpakou Carsten Pils Nikos Kalatzis Nicolas Liampotis

In ubiquitous computing environments, context management systems are expected to administrate large volumes of spatial and non-spatial information in geographical disperse domains. In particular, when these systems cover wide areas such as cities, countries or even the entire planet, the design of scalable storage, retrieval and propagation mechanisms is paramount. This chapter elaborates on mechanisms that address advanced requirements including support for distributed context databases management; efficient query handling; innovative management of mobile physical objects and optimization strategies for distributed context data dissemination. These mechanisms establish a robust spatially-enhanced distributed context management framework that has thoroughly been designed, carefully implemented and extensively evaluated via numerous experiments.

Context management

Spatial contextual awareness

Distributed database

10.4018/978-1-60566-290-9.ch004

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Citations (4)

Context Modelling and Management in Ambient-Aware Pervasive Environments

Lecture notes in computer science (2005)

Maria Strimpakou Ioanna Roussaki Carsten Pils Michael Angermann Patrick Robertson

Adaptability

Context awareness

Context-aware pervasive systems

10.1007/11426646_2

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Citations (42)