Context Modeling and Measuring for Context Aware Knowledge Management

Author(s):  
Ke Ning ◽  
David O’ Sullivan
Author(s):  
Prajit Kumar Das ◽  
Dibyajyoti Ghosh ◽  
Pramod Jagtap ◽  
Anupam Joshi ◽  
Tim Finin

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.


2016 ◽  
Vol 10 (1) ◽  
pp. 50-66 ◽  
Author(s):  
Beth Rogers ◽  
Lillian Clark

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.


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

Author(s):  
Prajit Kumar Das ◽  
Dibyajyoti Ghosh ◽  
Pramod Jagtap ◽  
Anupam Joshi ◽  
Tim Finin

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.


Author(s):  
Weihong Huang ◽  

To reduce the negative impact of knowledge loss and to improve knowledge reuse effectiveness in knowledge management in e-Enterprises, this paper presents a context-aware approach to facilitate managing various types of static enterprise information and dynamic process information. Proposed approach features representing and integrating information at different conceptual levels to present contextual knowledge in an open environment. In this paper, we redefine the concept of context in intelligent systems and propose a set of meta-information elements for context description in business environments. In realising the context-awareness in knowledge management, we present a context knowledge structure model and look into the corresponding context knowledge storage and reuse solutions. To enhance context-aware knowledge management for e-Businesses over the global network, we introduce a new concept of Context Knowledge Grid with a layered knowledge interoperation reference model, which are supposed to leverage the contextual knowledge in e-Enterprises and enable interoperation with other knowledge frameworks such as the Semantic Web and the Semantic Grid.


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.


2011 ◽  
Vol 37 (1) ◽  
pp. 43-67 ◽  
Author(s):  
Seungwok Han ◽  
Hee Yong Youn

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