Tarak Chaari

A comprehensive approach to model and use context for adapting applications in pervasive environments

With an increasing diversity of pervasive computing devices integrated in our surroundings and an increasing mobility of users, it will be important for computer systems and applications to be context-aware. Lots of works have already been done in this direction on how to capture context data and how to carry it to the application. Among the remaining challenges are to create the intelligence to analyze the context information and deduce the meaning out of it, and to integrate it into adaptable applications. Our work focuses on these challenges by defining generic context storage and processing model and by studying its impact on the application core. We propose a reusable context ontology model that is based on two levels: a generic level and a domain specific level. We propose a generic adaptation framework to guarantee adaptation of applications to the context in a pervasive computing environment. We also introduce a comprehensive adaptation approach that involves content adaptation and presentation adaptation inline with the adaptation of the core services of applications. Our case study shows that the context model and the application adaptation strategies provide promising service architecture.

Adaptation in Context-Aware Pervasive Information Systems: The SECAS Project

Purpose – The simple environment for context aware systems (SECAS) Project deals with the adaptation of applications to the context (user preferences and environment, terminal, etc.). The authors aim to develop a platform which makes the services, data and the user interface of applications adaptable to different context situations.Design/methodology/approach – Previous research has concentrated on how to capture context data and how to carry it to the application. The present work focuses on the impact of context on the application core. A case study in the medical field is also analysed.Findings – The paper illustrates a new definition of the context which separates the application data from the parameters of the context. This definition helps to establish a complete study on how to adapt applications on their three dimensions (services, content and presentation) to the context.Originality/value – The paper presents the SECAS platform, one that ensures the deployment of adaptive context‐aware applications.

Adaptation des applications au contexte en utilisant les services web

The SECAS Project (Simple Environment for Context Aware Systems) is interested in the adaptation of applications to the context (preferences and environment of the user, used terminal ...). We aim to develop a platform which makes the data, the services and the user interface of applications adaptable to the various context situations. In this domain, researches have concentrated on how to capture context data and to carry it to the application. Our work focuses on the impact of context on the application. In this paper, we present the architecture of SECAS, a new definition of the context, our adaptation strategy and a case of study in the medical field.

A Comprehensive Ontology-Based Approach for SLA Obligations Monitoring

Specifying clear quality of service (QoS) agreements between service providers and consumers is particularly important for the successful deployment of service-oriented architectures. The related challenges include correctly elaborating and monitoring QoS contracts (SLA: service level agreement) to detect and handle their violations. In this paper, first, we study and analyze existing SLA-related models. Then, we elaborate a complete, generic and semantically richer ontology-based model of SLA. We used the Semantic Web Rule Language (SWRL) to express SLA obligations in our model. This language facilitates the SLA monitoring process and the eventual action triggering in case of violations. We used this model to automatically generate semantic-enabled QoS obligations monitors. We have also developed a prototype to validate our model and our monitoring approach. Finally, we believe that this work is a step ahead to the total automation of the SLA management process.

Génération et adaptation automatiques des interfaces utilisateurs pour des environnements multiterminaux Projet SEFAGI (Simple Environment For Adaptable Graphical Interfaces)

Le projet SEFAGI (Simple Environment For Adaptable Graphical Interfaces) sinteresse a ladaptation des applications a des environnements multiterminaux. Notre objectif est double : nous voulons (i) permettre a lutilisateur final (ou a un utilisateurconcepteur) de decrire ses interfaces, et lui generer entierement le code correspondant et (ii) rendre la generation du code de linterface adaptable a tous types de terminaux. Ces interfaces doivent interagir avec des traitements distants varies (calculs mathematiques, mise a jour dune base de donnees, telechargement dune image...). Ceci inclut la gestion des interactions entre composants graphiques et services distants, ainsi que la mise en place dadaptations a differents niveaux. Nous avons specifie, concu et developpe une plate-forme complete qui nous a permis de valider les principes elabores dans ce travail.

Docker2RDF: Lifting the Docker Registry Hub into RDF

Docker is the most popular open-source software for managing software containers. Docker is widely used in the industry and is becoming the de-facto standard. In this paper, we tackle the issue of bringing Docker into the Linked Open Data Cloud to enhance docker images descriptions and search. We first present the construction of the ontology that describes Docker images. This ontology is interconnected with DBPedia and reuses SIOC and prov vocabularies. We then describe the automated process that automatically extracts data from the Docker Hub Registry to populate the aforementioned ontology. We also present a Web platform that provides a SPARQL endpoint as well as analytical insights into the dataset.