Business-Oriented Analytics With Social Network of Things

2018 ◽  
pp. 166-187
Author(s):  
Pawan Kumar ◽  
Adwitiya Sinha
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Context Awareness ◽  
Context Aware ◽  
Main Concept ◽  
Social Data ◽  
Context Aware Computing ◽  
Recent Trends ◽  
Socially Relevant ◽  
Modern Era

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.

Business-Oriented Analytics With Social Network of Things

2019 ◽  
pp. 524-545 ◽  
Author(s):  
Pawan Kumar ◽  
Adwitiya Sinha
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Context Awareness ◽  
Context Aware ◽  
Main Concept ◽  
Social Data ◽  
Context Aware Computing ◽  
Recent Trends ◽  
Socially Relevant ◽  
Modern Era

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.

scholarly journals CONTEXT STORAGE USING CLOUD-BASED MONGODB WITH RULE-BASED RETE ALGORITHM

2021 ◽  
Vol 9 (2) ◽  
pp. 1022-1030
Author(s):  
Shivakumar. C, Et. al.
Keyword(s):  
Sensor Network ◽  
Context Awareness ◽  
Research Work ◽  
Context Aware ◽  
The Novel ◽  
Rule Based ◽  
Smart System ◽  
Context Aware Computing ◽  
Context Data ◽  
Day By Day

In this Context-aware computing era, everything is being automated and because of this, smart system’s count been incrementing day by day.  The smart system is all about context awareness, which is a synergy with the objects in the system. The result of the interaction between the users and the sensors is nothing but the repository of the vast amount of context data. Now the challenging task is to represent, store, and retrieve context data. So, in this research work, we have provided solutions to context storage. Since the data generated from the sensor network is dynamic, we have represented data using Context dimension tree, stored the data in cloud-based ‘MongoDB’, which is a NoSQL. It provides dynamic schema and reasoning data using If-Then rules with RETE algorithm. The Novel research work is the integration of NoSQL cloud-based MongoDB, rule-based RETE algorithm and CLIPS tool architecture. This integration helps us to represent, store, retrieve and derive inferences from the context data efficiently..                       

scholarly journals Σύστημα διάχυτης και διεισδυτικής υπολογιστικής με επίγνωση του περιβάλλοντος

2008 ◽  
Author(s):  
Μαρία Στριμπάκου
Keyword(s):  
Pervasive Computing ◽  
Context Awareness ◽  
Context Aware ◽  
Context Aware Computing

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.

Background on Context-Aware Computing Systems

2017 ◽  
pp. 1-31
Author(s):  
Amina HAMEURLAINE ◽  
Samiha Brahimi
Keyword(s):  
Pervasive Computing ◽  
Context Awareness ◽  
Contextual Information ◽  
Background Information ◽  
Context Aware ◽  
Ubiquitous Healthcare ◽  
Computing Systems ◽  
Context Aware Computing ◽  
Conducting Research ◽  
Application Adaptation

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.

scholarly journals Influence of Social Networking on Adolescent Youth

2019 ◽  
Vol 8 (12S) ◽  
pp. 614-616
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Tamil Nadu ◽  
Technological Innovations ◽  
World Population ◽  
Negative Effects ◽  
Modern Era

This modern era demands for a lot of technological innovations. Networking is one such most unavoidable thing in this world. Social networks are considered as a medium of communication which is used for sharing and gathering information, messages, images, news, videos etc. There are about 3.2 billion social network users worldwide that sums up to 42 percent of the world population (Emarsys,2019). People worldwide are well connected professionally and personally by using social networks. In India, there are about 325 Million users out of which Tamil Nadu is the second largest user. It is also found that youth are the main users of social networks. The very popular social network sites are Facebook, Instagram, Twitter, Gmail, Youtube etc. Youth find Social networking as a very integral part of their life. More than real relations, they find pleasure in spending time with Social media. There are both positive and negative effects on the usage of social media. Hence the researchers has taken up the study on impact of social networking on youth to analyse the effect on Youth. Through this study, the researcher has concluded that the effect or impact of social networking lies in the usage of these social networking sites by the users.

Context Awareness on Mobile Devices

2015 ◽  
Vol 743 ◽  
pp. 742-747 ◽  
Author(s):  
Z.A. Pan ◽  
J.X. Zhu
Keyword(s):  
Real Time ◽  
Mobile Devices ◽  
Context Awareness ◽  
Mobile Users ◽  
Context Aware ◽  
Context Aware Computing ◽  
Bayes Net ◽  
Real Time Classification

Context aware computing is important for applications to provide smarter and safer<br />service to mobile users, especially when users’ context changing rapidly or regularly. In this paper,<br />we propose a context aware model for mobile devices based on audio and location. The information<br />can easily obtained from sensors, e.g., microphones and GPS. Thus, exploiting the MFCC features<br />and the location, a Bayes Net is trained and built and will be used for context classifying in the<br />real-time classification. The results of experiments implemented on Android 4.0 platform<br />demonstrate promising performance, which indicates that the model is able to support real<br />applications.

Spontaneous Social Network: toward dynamic virtual communities based on context-aware computing

2018 ◽  
Vol 95 ◽  
pp. 72-87 ◽  
Author(s):  
Natália de Arruda Botelho Navarro ◽  
Cristiano André da Costa ◽  
Jorge Luis Victoria Barbosa ◽  
Rodrigo da Rosa Righi
Keyword(s):  
Social Network ◽  
Virtual Communities ◽  
Context Aware ◽  
Context Aware Computing

scholarly journals A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces

2021 ◽  
Vol 11 (13) ◽  
pp. 5770
Author(s):  
Konstantinos Michalakis ◽  
Yannis Christodoulou ◽  
George Caridakis ◽  
Yorghos Voutos ◽  
Phivos Mylonas
Keyword(s):  
Context Awareness ◽  
Context Aware ◽  
Context Modeling ◽  
Context Model ◽  
Case Scenario ◽  
Preventive Conservation ◽  
Context Aware Computing ◽  
Hybrid Reasoning ◽  
Smart Things ◽  
High Level

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.

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