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..                       

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.

Context-Aware Applications for the Web

2011 ◽  
pp. 417-440
Author(s):  
Florian Daniel
Keyword(s):  
Context Awareness ◽  
Web Applications ◽  
User Profile ◽  
Expressive Power ◽  
Context Aware ◽  
Web Engineering ◽  
Runtime Adaptation ◽  
Model Driven ◽  
Context Data ◽  
Development Approach

Adaptivity (the runtime adaptation to user profile data) and context-awareness (the runtime adaptation to generic context data) have been gaining momentum in the field of Web engineering over the last years, especially in response to the ever growing demand for highly personalized services and applications coming from end users. Developing context-aware and adaptive Web applications requires addressing a few design concerns that are proper of such kind of applications and independent of the chosen modeling paradigm or programming language. In this chapter we characterize the design of context-aware Web applications, the authors describe a conceptual, model-driven development approach, and they show how the peculiarities of context-awareness require augmenting the expressive power of conceptual models in order to be able to express adaptive application behaviors.

Context-Aware Applications for the Web

2010 ◽  
pp. 59-82 ◽  
Author(s):  
Florian Daniel
Keyword(s):  
Context Awareness ◽  
Web Applications ◽  
User Profile ◽  
Context Aware ◽  
Web Engineering ◽  
Runtime Adaptation ◽  
Model Driven ◽  
Personalized Services ◽  
Context Data ◽  
Development Approach

Adaptivity (the runtime adaptation to user profile data) and context-awareness (the runtime adaptation to generic context data) have been gaining momentum in the field of Web engineering over the last years, especially in response to the ever growing demand for highly personalized services and applications coming from end users. Developing context-aware and adaptive Web applications requires addressing a few design concerns that are proper of such kind of applications and independent of the chosen modeling paradigm or programming language. In this chapter we characterize the design of context-aware Web applications, the authors describe a conceptual, model-driven development approach, and they show how the peculiarities of context-awareness require augmenting the expressivepower of conceptual models in order to be able to express adaptive application behaviors.

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.

Context-Aware Database Querying

2011 ◽  
pp. 147-168 ◽  
Author(s):  
Yuanping Li ◽  
Ling Feng ◽  
Lizhu Zhou
Keyword(s):  
Context Awareness ◽  
Information Needs ◽  
Essential Element ◽  
Context Aware ◽  
Research Issues ◽  
Database Querying ◽  
Use Context ◽  
Context Data ◽  
Database Query Processing ◽  
Processing Mechanism

Context is an essential element in mobile and ubiquitous computing. Users’ information needs can be better understood and supplied by means of context-awareness. Context data may be sensed, inferred, or directly input by users, and so forth, which calls for specific query mechanisms to acquire context information. On the other hand, traditional non-context-aware database querying techniques need to be re-examined, taking query context into account. In order to design effective context-aware database query processing mechanism, the authors survey the latest developed context-aware querying techniques in the data management field. They outline six ways to query context directly, and provide a categorization about how to use context in querying traditional databases. The approaches of handling imperfect context in context-aware database querying are also described. They discuss some potential research issues to be addressed at the end of the chapter.

scholarly journals Design of Associate Content Based Classifier (ACBC) for Malicious URL Prediction by Rule Generation Algorithm

2021 ◽  
Vol 3 (1) ◽  
pp. 44-56
Author(s):  
Vivekanadam B
Keyword(s):  
Research Work ◽  
Social Engineering ◽  
Rule Generation ◽  
Rule Based ◽  
Digital World ◽  
Research Article ◽  
Confidential Data ◽  
Data Content ◽  
Overall Performance ◽  
Day By Day

Recently, the internet is becoming as the most effective tool to interact with many foreign societies especially during COVID-19 pandemic. Moreover, the digital platform is increasing in many developing countries and at the same time, the chance of fraudulence is also increasing day by day. In the digital world, phishing assaults are emerging as the most common type of social engineering attack. Currently, many websites are targeting to acquire the confidential data, which is stored in websites. Recently, the classification techniques are employed to detect the phishing websites. Many tools are used for anti-phishing purposes; they are blacklist and antivirus software. The confidential data in a fake surrounding has intended the category of leaked data due to the action of attackers. In this scenario, machine learning method is observed as a very effective to classify the phishing and non-phishing web (Uniform Resource Locator) URLs. This classification struggles in classifying the leaked data content-based challenge. Therefore, the proposed algorithm is associated with the content-based classification method along with the rule-based generator algorithm. This research article integrates the content-based classification with a rule-based generator algorithm to improve the overall performance of the system. The updated public online repository called Mendeley dataset is used in the proposed research work. The proposed algorithm is used in 7k phishing and real websites content data for performing feature extraction. The extracted feature is then analyzed with our proposed algorithm to provide better prediction accuracy. Also, the proposed work has concluded that, the associate algorithm has achieved better accuracy, when compared to other existing methods.

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.

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