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we propose architecture for adaptive services provisioning within Social Internet of Things', where both humans and objects interact via social structure of everything. Building on the socio-technical networks, we propose goal-driven, i.e. cognitive, context-awareness as the core for intelligence generation. Results shows reduced overhead of contextual data acquisition and processing.
This paper presents a comprehensive empirical study on the correlations between users' interest similarity and various social features across three interest domains (i.e., movie, music and TV). This study relies on a large dataset, containing 479, 048 users and 5, 263, 351 user-generated interests, captured from Facebook. We identify the social features from three types of the users' information -...
Since the early days of smartphones, there has been a phenomenal increase in the quantity and quality of mobile applications. Most of these applications aim to answer one specific need (like SMS for messaging) but do not coordinate their execution as most of the time they are made by separate developers. Composing and coordinating these applications should increase their benefit especially if the...
This paper presents an event based functionality integration framework to approach the issue of service personalization and service mashups. In contrast to existing data integration approaches, the proposed framework addresses the mashup issue from a new perspective by extracting and reasoning the context through user generated event, while recommending and aggregating the contextual services dynamically...
Ubiquitous digital devices with rich media processing and networking capabilities open an avenue for enriching user experiences, especially in video voice over IP communication sessions because a communication session can be transferred partially to multiple devices that are in the vicinity of caller and (or) callee. Then, the transferred partial session can be retrieved back to the original place...
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