Abstract
Context-aware applications are required to be aware of user context and ambient intelligent to support nonintrusive human-computer interaction. However, the uncertain real-world environments make it difficult for a system to perceive enough environmental contexts and achieve user's goal. Therefore, this study proposes a framework for developing an NFC-enabled intelligent agent, which combines the NFC technique with context-acquisition, ontology-knowledgebase, and semantic-adaptation modules to be aware of location, time, device, and activity contexts with respect to personal and social profiles. To cope with the uncertain environment, a credit-based incentive scheme is also proposed to encourage social cooperation and thereby enlarge the value of personal perceptions. By developing a complete ontology knowledgebase, the proposed framework can incorporate with social-cooperation schemes to recommend relevant services for supporting reactive action, proactive achievement, and social cooperation. The resultant social-advertising system shows that this framework can support a wide-range of different functionalities and is indispensable to an NFC-based intelligent agent for social Internet of things.
Highlights
Advances in ubiquitous computing realize data access anywhere and anytime
Social Internet of things (SIoT) integrating the IoT and social networks have been studied by researchers to support novel applications in more effective and efficient ways
The key concept of the social Internet of things (SIoT) is to enlarge the value of the near-field communication (NFC) perceptions, especially, when more people join in a positive feedback loop to share their beliefs about the challenge environment [17]
Summary
Advances in ubiquitous computing realize data access anywhere and anytime. The ambient intelligence (AmI) is a new investigation area that facilitates accessing virtual information of real artefacts, such as objects, location, time, people, and sensors. The most important kernel of the proposed NIA is a sharable knowledgebase in which domain and context ontologies are used to infer context-aware situations [5] That is, this system perceives the AmI and social relationship of a user in order to respond to relevant actions according to the system’s belief of the user’s situation, ambient environments, and available services. The proposed ontology framework is a formal knowledge representation approach for modeling different kinds of real-world contexts to support locationaware, time-aware, device-aware, social-aware, and activityaware functionalities according to personal preference and social cooperation In this paper, these context-awareness and social-incentive capabilities are applied to develop a social advertising system to support comprehensive intelligentrecommendation and social-cooperation functionalities with appropriate adaptation operators for SIoT environments.
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