Meta Model Context Based Space for Ubiquitous Computing

Author(s):  
Mohammed Fethi Khalfi ◽  
Sidi Mohamed Benslimane

Pervasive computing is a paradigm that focuses on the availability of computer resources anytime anywhere for any application and supports integration of computing services into everyday life. Context awareness is the core feature of pervasive computing. High-level context awareness can be enhanced by situation awareness that represents the ability to detect and reason about the real-life situations. In this paper, in order to deal with the problem in context-aware modeling in pervasive computing environments, the authors present a comprehensive and integrated approach for context modeling. They first propose a Meta model context based on ontology for Pervasive Computing aiming firstly to overcome the limitations of the existing ontologies, and secondly extend its capabilities by adding new environmental aspects. They divide the context model into Meta Ontology level and Domain-specific Ontology level according to the abstraction hierarchy. The Meta Ontology is the high abstract level which extracting the basic elements of the context knowledge. The Domain-specific Ontology is the lower abstract lever which focusing on different domains knowledge, directed by the Meta Ontology. The advantage is that it can provide a flexible modeling mechanism for multiple applications of context-aware pervasive computing. A case study of HealthCare domain is given to illustrate the practicality of the authors' Model.

Author(s):  
Benmesbah Ouissem ◽  
Mahnane Lamia ◽  
Mohamed Hafidi

Context modeling is the keystone to enable the intelligent system to adapt its functionalities properly to different situations. As such, a representation mechanism that allows an adequate manipulation of this kind of information is required, and diverse approaches have been introduced; however, what takes more value and is being positioned as a standard is the ontology-based context modeling because it presents a common understanding vocabulary for a specific domain. Hence, it might be beneficial to have a generic ontology to model context in this area. However, according to diverse works, there is no proposal of a generic context model for context-aware learning. For addressing this problem, several existing context models are studied to identify the essentials of context modeling, whereby an ontology-based generic context model is presented. The proposed ontology is evaluated in two ways. Firstly, scenarios are used to justify the feasibility of the model; then a comparative study and evaluation metrics are applied to assess the proposal.


2021 ◽  
Vol 11 (13) ◽  
pp. 5770
Author(s):  
Konstantinos Michalakis ◽  
Yannis Christodoulou ◽  
George Caridakis ◽  
Yorghos Voutos ◽  
Phivos Mylonas

The proliferation of smart things and the subsequent emergence of the Internet of Things has motivated the deployment of intelligent spaces that provide automated services to users. Context-awareness refers to the ability of the system to be aware of the virtual and physical environment, allowing more efficient personalization. Context modeling and reasoning are two important aspects of context-aware computing, since they enable the representation of contextual data and inference of high-level, meaningful information. Context-awareness middleware systems integrate context modeling and reasoning, providing abstraction and supporting heterogeneous context streams. In this work, such a context-awareness middleware system is presented, which integrates a proposed context model based on the adaptation and combination of the most prominent context categorization schemata. A hybrid reasoning procedure, which combines multiple techniques, is also proposed and integrated. The proposed system was evaluated in a real-case-scenario cultural space, which supports preventive conservation. The evaluation showed that the proposed system efficiently addressed both conceptual aspects, through means of representation and reasoning, and implementation aspects, through means of performance.


Author(s):  
Bessam Abdulrazak ◽  
Patrice Roy ◽  
Charles Gouin-Vallerand ◽  
Yacine Belala ◽  
Sylvain Giroux

Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.


2013 ◽  
Vol 86 (11) ◽  
pp. 2890-2905 ◽  
Author(s):  
José R. Hoyos ◽  
Jesús García-Molina ◽  
Juan A. Botía

2010 ◽  
Vol 2 (3) ◽  
pp. 31-43 ◽  
Author(s):  
Darren Black ◽  
Nils Jakob Clemmensen ◽  
Mikael B. Skov

Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.


Author(s):  
Mohammed Fethi Khalfi ◽  
Sidi Mohamed Benslimane

Pervasive environments are characterized by a large number of embedded devices offering their services to the user. Which of the available services are of most interest to the user considerably depends on the user's current context. Spontaneous service discovery and selection is one of the most important fields of research in pervasive computing. In this paper the authors will present an enhancement of ubiquitous computing discovery mechanisms adding context handling capabilities to Web Services for Devices in Pervasive Computing using UPnP as an infrastructure to address these implicit requests. User preferences, network and location are described by a formal context model ontology that is based on two levels: a generic level and a domain specific level. As compared with previous research, the authors' method uses location aware, UPnP infrastructure, web service for devices and the notion of proactivity in pervasive computing to continuously present the Spontaneous most relevant services to the user or device in response to changes of context, services or user preferences.


2008 ◽  
Author(s):  
Μαρία Στριμπάκου

Η έννοια της διάχυτης και διεισδυτικής υπολογιστικής (Pervasive Computing - PerCom) είναι συνυφασμένη με το μέλλον των υπολογιστικών και επικοινωνιακών συστημάτων επόμενης γενιάς. Αυτή η βιομηχανία είναι μια άγνωστη αλλά πολλά υποσχόμενη περιοχή, δεδομένου ότι η διεισδυτικότητα θα δημιουργήσει πολλές νέες επιχειρηματικές ευκαιρίες. Η διάχυση της νοημοσύνης στα καθημερινά αντικείμενα, λόγω της σμίκρυνσης και της μείωσης των δαπανών του υλικού, σε συνδυασμό με τα ερευνητικά αποτελέσματα που πραγματοποιούνται από τις διάφορες πρωτοβουλίες στον τομέα PerCom, θα αλλάξει τον τρόπο με τον οποίο αλληλεπιδρούν οι παροχείς με τους πελάτες. Υπό αυτό το πρίσμα η επιχειρηματικότητα θα συναντήσει τους ανθρώπους σύμφωνα με τους όρους τους, ενώ η γεωγραφική θέση του πελάτη θα είναι η θέση του επιχειρηματικού πεδίου δράσης του παροχέα. Καθώς λοιπόν εξελίσσονται τα παραδοσιακά συστήματα, μια σημαντική πτυχή που πρέπει να μελετηθεί είναι η επίγνωση του περιβάλλοντος (context-awareness). Η δημιουργία και παροχή υπηρεσιών που έχουν επίγνωση του περιβάλλοντος (context-aware services) είναι μια από τις κρισιμότερες απαιτήσεις κατά την υλοποίηση της διάχυτης υπολογιστικής. Ο όρος "πληροφορίες περιβάλλοντος" (context) αναφέρεται στην περιρρέουσα φυσική και κοινωνική κατάσταση και θεωρείται βασικό εργαλείο στις προσπάθειες των υπεύθυνων για την ανάπτυξη να διασκορπίσουν και να ενσωματώσουν άρρηκτα την υπολογιστική PerCom στην ανθρώπινη καθημερινότητα. Ο κυριότερος στόχος της υπολογιστικής επίγνωσης του περιβάλλοντος (context-aware computing) είναι να αποκτηθούν και να αξιοποιηθούν πληροφορίες από τον περιρρέοντα χώρο ώστε να παρέχονται υπηρεσίες που είναι κατάλληλες για συγκεκριμένους ανθρώπους, σε συγκεκριμένο τόπο, χρόνο, γεγονότα, κ.λπ. Υπό αυτό το πρίσμα η υπολογιστική επίγνωσης του περιβάλλοντος είναι σε θέση να σφυρηλατήσει νέους συνδυασμούς των υπαρχουσών και μελλοντικών τεχνολογιών και να δημιουργήσει μία τεχνολογική πραγματικότητα ζωηρότερη και πιο ευφάνταστη πιθανόν από κάθε άλλη που προηγήθηκε. Η παρούσα διατριβή δίνει απαντήσεις σε προβλήματα τα οποία δεν έχουν ακόμη αντιμετωπιστεί στα πλαίσια της υπολογιστικής επίγνωσης του περιβάλλοντος, καλύπτοντας θέματα που αφορούν τη σχεδίαση, την ανάπτυξη, την προώθηση και την αξιολόγηση ενός συστήματος διαχείρισης πληροφοριών περιβάλλοντος. Έπειτα από την παρουσίαση της έννοιας της διάχυτης υπολογιστικής, η διατριβή εστιάζει στην υπολογιστική επίγνωσης του περιβάλλοντος και αναλύει τα αναδυόμενα ζητήματα και προκλήσεις κατά την υλοποίηση μεθόδων αποδοτικής διαχείρισης της πληροφορίας που ανακτάται από το περιβάλλον, ενώ πραγματοποιείται μία επισκόπηση των σχετικών λύσεων μεσισμικού. Ακολούθως η διατριβή επικεντρώνεται στους εξής θεμελιώδεις μηχανισμούς βελτιστοποίησης των λειτουργιών διαχείρισης της πληροφορίας περιβάλλοντος: (i) Επιλογή και υλοποίηση ενός αποδοτικού μοντέλου αναπαράστασης πληροφοριών context, (ii) σχεδιασμός ενός ολοκληρωμένου αρχιτεκτονικού πλαισίου που υποστηρίζει προηγμένους μηχανισμούς επικοινωνίας, διαχείρισης και αποθήκευσης πληροφοριών context, ενώ προδιαγράφει ειδικές μεθόδους διαχείρισης της κινητικότητας του χρήστη, (iii) υλοποίηση και αξιολόγηση ευφυών μηχανισμών σημασιολογικής αναζήτησης κατανεμημένων πληροφοριών context σε κείμενα ελεύθερης περιγραφής και (iv) σχεδιασμός και αποτίμηση ενός καινοτομικού μοντέλου διανομής και ενημέρωσης αντιγράφων context σε κατανεμημένους κόμβους του δικτύου.


Author(s):  
Monika Büscher ◽  
Preben Holst Mogensen ◽  
Margit Kristensen

In this article we use the formative evaluation of a prototype ‘assembly’ of pervasive computing technologies to specify design implications for emergency virtual teamwork tools. The prototype assembly, called “Overview”, was implemented in collaboration with police, fire and medical emergency services as part of the real life event management during the Tall Ships’ Races 2007 in Denmark. We describe how the emergency teams used the technologies for collaboration between distributed colleagues, to produce shared situation awareness, to manage efforts and resources and respond to minor emergencies. Trust in technology is a key need virtual teams identify in their endeavours to dovetail innovative technologies into emergency work. We show how practices of working up trust are supported by the PalCom open architecture (which was used to build Overview), and delineate design guidelines to enable the productive integration of pervasive computing.


Author(s):  
Amina HAMEURLAINE ◽  
Samiha Brahimi

This chapter is consecrated to provide background information that encompass the basic concepts of context-aware pervasive computing systems. The major challenges that researchers need to consider when conducting research in context-aware pervasive computing systems and the most interesting approaches that can be used in order to deal with these challenges are reviewed. This chapter describes also the basic design principles of context-aware pervasive systems and depicts different models for representing and reasoning upon contextual information and an overview of the most known development frameworks of context-aware systems and application adaptation is presented too. Moreover, this chapter describes the usefulness of using context-awareness in ubiquitous healthcare domain and the major challenges in using context-awareness in this domain. The well-known works that have been proposed in the field of Ubiquitous healthcare are discussed too.


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