scholarly journals Context analysis approach for context aware applications deployed on pervasive environments

Author(s):  
Nesrine Khabou ◽  
Ismael Bouassida Rodriguez ◽  
Mohamed Jmaiel
Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.


Author(s):  
Muhammad Khan ◽  
Kashif Zia ◽  
Nadeem Daudpota ◽  
S Hussain ◽  
Najma Taimoor

2016 ◽  
Vol 8 (4) ◽  
pp. 48 ◽  
Author(s):  
Adel Alti ◽  
Abderrahim Lakehal ◽  
Sébastien Laborie ◽  
Philippe Roose

2015 ◽  
Vol 52 ◽  
pp. 202-209 ◽  
Author(s):  
Guilherme W. Cassales ◽  
Andrea S. Charão ◽  
Manuele Kirsch Pinheiro ◽  
Carine Souveyet ◽  
Luiz A. Steffenel

Author(s):  
Christopher Lima ◽  
Mário Antunes ◽  
Diogo Gomes ◽  
Rui Aguiar ◽  
Telma Mota

Pervasive environments involve the interaction of users with the objects that surround them and also other participants. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups taking into account not only individual interests, but also the collective and social context. In this study, the authors explore the potential of using context-aware information in CSCW application in order to support collaboration in pervasive environments. In particular this paper describes the approach used in the design and development of a context-aware framework utilizing users' context information interpretation for behaviour adaptation of collaborative applications in pervasive communities.


2020 ◽  
Vol 17 (2) ◽  
pp. 40-58
Author(s):  
Widad Ettazi ◽  
Mahmoud Nassar ◽  
Hatim Hafiddi

Pervasive environments are characterized by limited computing resources and wireless connectivity. In parallel, current application domains have variable transactional requirements that do not fit the traditional ACID model. As a result, the pervasive environment characteristics are compelling and cannot be supported by conventional solutions that are typically dedicated to a specific application domain and support a limited set of context parameters. This article aims at providing a complete solution that addresses the challenges of the adaptability of context-aware transactional services “CATS” in pervasive environments. Thus, a new framework CATS-CAE was designed, which offers a comprehensive structure of multiple component chains. The adaptation strategy in CATS-CAE is based on a hybrid approach combining the use of adaptation policies, alternative strategy and behavioral adaptation of composite services through the “Profiled Task Class” concept. A probabilistic model is also presented to support the efficiency of the proposed approach.


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