A Comparison of Context-Modeling Representations for Context-Aware Applications

2006 ◽  
Author(s):  
J. Saul Gonzalez-campos
Keyword(s):  
Context Aware ◽  
Context Modeling

scholarly journals Preserving User Privacy and Security in Context-Aware Mobile Platforms

2019 ◽  
pp. 1203-1230 ◽  
Author(s):  
Prajit Kumar Das ◽  
Dibyajyoti Ghosh ◽  
Pramod Jagtap ◽  
Anupam Joshi ◽  
Tim Finin
Keyword(s):  
Context Aware ◽  
Context Modeling ◽  
User Privacy ◽  
Mobile Platforms ◽  
Privacy And Security ◽  
Semantic Web Technologies ◽  
Fine Grained ◽  
New Class ◽  
Context Data ◽  
Collaborative Context

Contemporary smartphones are capable of generating and transmitting large amounts of data about their users. Recent advances in collaborative context modeling combined with a lack of adequate permission model for handling dynamic context sharing on mobile platforms have led to the emergence of a new class of mobile applications that can access and share embedded sensor and context data. Most of the time such data is used for providing tailored services to the user but it can lead to serious breaches of privacy. We use Semantic Web technologies to create a rich notion of context. We also discuss challenges for context aware mobile platforms and present approaches to manage data flow on these devices using semantically rich fine-grained context-based policies that allow users to define their privacy and security need using tools we provide.

scholarly journals CABS: a conceptual model for context-aware B2B sales applications

2016 ◽  
Vol 10 (1) ◽  
pp. 50-66 ◽  
Author(s):  
Beth Rogers ◽  
Lillian Clark
Keyword(s):  
Conceptual Model ◽  
Mobile Applications ◽  
Value Added ◽  
Context Aware ◽  
Context Modeling ◽  
Application Development ◽  
Content Type ◽  
Joint Application ◽  
Mobile Context ◽  
Sales Staff

Purpose – This paper aims to propose a conceptual model that will guide development of mobile applications to support value-added business-to-business (B2B) sales activities. Design/methodology/approach – The paper reviews the concepts of context-aware applications and context-marketing, then examines B2B selling and the creation of value, utilizing Terho’s model of value-based selling, and presenting the potential role of context-aware B2B selling in creating value. Terho’s model is then combined with a taxonomy of context modeling to produce step-by-step a conceptual model for developing context-aware B2B sales applications (CABS). Findings – By mapping the context-aware application development taxonomy against each stage of Terho’s “value-based selling” model, the CABS model is proposed. This model provides a platform for the B2B salesforce, their customers and information technology (IT) staff to work together in developing requirements and prototypes for mobile B2B context-aware applications. Research limitations/implications – The CABS model would require empirical testing to assess its viability and suitability. This would initially be done via focus groups in targeted sales organizations. Practical implications – The CABS model could utilized by sales staff and their customers to develop requirements for mobile context-aware applications to support B2B activity. In addition, the CABS model could be utilized in joint application design processes to enable sales and IT staff to work together in developing prototype mobile applications. Originality/value – While context-aware applications are beginning to transform business-to-sale (B2C) sales activities, it is clear that B2B sales could also benefit from these types of applications, but little progress has been made in understanding or developing their potential. The CABS model enables B2B sales staff and their customers to recognize these benefits and facilitate working with IT staff in defining requirements and developing prototypes.

A domain-specific language for context modeling in context-aware systems

2013 ◽  
Vol 86 (11) ◽  
pp. 2890-2905 ◽  
Author(s):  
José R. Hoyos ◽  
Jesús García-Molina ◽  
Juan A. Botía
Keyword(s):  
Domain Specific Language ◽  
Context Aware ◽  
Context Modeling ◽  
Specific Language ◽  
Domain Specific

scholarly journals Preserving User Privacy and Security in Context-Aware Mobile Platforms

2017 ◽  
pp. 166-193
Author(s):  
Prajit Kumar Das ◽  
Dibyajyoti Ghosh ◽  
Pramod Jagtap ◽  
Anupam Joshi ◽  
Tim Finin
Keyword(s):  
Context Aware ◽  
Context Modeling ◽  
User Privacy ◽  
Mobile Platforms ◽  
Privacy And Security ◽  
Semantic Web Technologies ◽  
Fine Grained ◽  
New Class ◽  
Context Data ◽  
Collaborative Context

Contemporary smartphones are capable of generating and transmitting large amounts of data about their users. Recent advances in collaborative context modeling combined with a lack of adequate permission model for handling dynamic context sharing on mobile platforms have led to the emergence of a new class of mobile applications that can access and share embedded sensor and context data. Most of the time such data is used for providing tailored services to the user but it can lead to serious breaches of privacy. We use Semantic Web technologies to create a rich notion of context. We also discuss challenges for context aware mobile platforms and present approaches to manage data flow on these devices using semantically rich fine-grained context-based policies that allow users to define their privacy and security need using tools we provide.

scholarly journals A Proposed Ontology-Based Generic Context Model for Ubiquitous Learning

2021 ◽  
Vol 16 (3) ◽  
pp. 47-64
Author(s):  
Benmesbah Ouissem ◽  
Mahnane Lamia ◽  
Mohamed Hafidi
Keyword(s):  
Comparative Study ◽  
Intelligent System ◽  
Context Aware ◽  
Context Modeling ◽  
Ubiquitous Learning ◽  
Context Model ◽  
Specific Domain ◽  
Context Models ◽  
Common Understanding ◽  
Model Context

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.

Petri net-based context modeling for context-aware systems

2011 ◽  
Vol 37 (1) ◽  
pp. 43-67 ◽  
Author(s):  
Seungwok Han ◽  
Hee Yong Youn
Keyword(s):  
Petri Net ◽  
Context Aware ◽  
Context Modeling

scholarly journals Rule-based solution for context-aware reasoning on mobile devices

2014 ◽  
Vol 11 (1) ◽  
pp. 171-193 ◽  
Author(s):  
Grzegorz Nalepa ◽  
Szymon Bobek
Keyword(s):  
Mobile Devices ◽  
Rapid Evolution ◽  
Preliminary Evaluation ◽  
Context Aware ◽  
Context Modeling ◽  
Network Access ◽  
Mobile Platforms ◽  
Rule Based ◽  
Real Time Processing ◽  
Context Reasoning

With the rapid evolution of mobile devices, the concept of context aware applications has gained a remarkable popularity in recent years. Smartphones and tablets are equipped with a variety of sensors including accelerometers, gyroscopes, and GPS, pressure gauges, light and GPS sensors. Additionally, the devices become computationally powerful which allows real-time processing of data gathered by their sensors. Universal network access viaWiFi hot-spots and GSM network makes mobile devices perfect platforms for ubiquitous computing. Most of existing frameworks for context-aware systems, are usually dedicated to static, centralized, clientserver architectures. However, mobile platforms require from the context modeling language and inference engine to be simple and lightweight. The model should also be powerful enough to allow not only solving simple context identification tasks but more complex reasoning. The original contribution of the paper is a proposal of a new rule-based context reasoning platform tailored to the needs of such intelligent distributed mobile computing devices. It contains a proposal of a learning middleware supporting context acquisition. The platform design is based on a critical review and evaluation of existing solutions given in this paper. A preliminary evaluation of the platform is given along with use cases including a social system supporting crime detection and investigation.

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