1,721,040 research outputs found
A framework for social context-aware pervasive computing applications
This thesis introduces a novel framework to address challenges in developing socially-aware applications. The framework includes an approach to model, represent, reason about, and manage different types of social context, and a platform for acquiring, storing, provisioning and managing social context information to aid the development of socially-aware applications. This thesis makes several important research contributions. Firstly, the proposed framework provides an ontology-based social context model, including an upper social context ontology which can be customised and specialised to form domain-specific ontologies. Secondly, the iii framework provides an ontology-based approach to define rules for deriving, deducing and abstracting social context information. It also propose an approach to inferring users’ situations by correlating historical interaction events. Thirdly, the framework provides an ontology-based socially-aware access control policy model and language for owners to control access to their information at different levels of granularity. Fourthly, the framework also provides a way to model and represent runtime social interactions from both the domain- and player-perspectives to support mediated social interactions, and manage their adaptation to cope with the changes in user requirements and environments. Finally, the framework provides a platform for acquiring, storing and provisioning social context information, executing social interaction models and managing their runtime adaptation
Modeling, managing and reasoning about social contexts for socially-aware applications
Despite the huge prospects of pervasive social computing and the extensive work in context-aware applications, so far very limited work has focused on socially-aware applications. The key requirements to develop such applications are modeling, managing and reasoning about users' social contexts. To fulfil these requirements, in this PhD research, we have made an attempt to model, manage and reason about social contexts to aid the development of socially-aware applications. We study different types of social contexts, their use in various socially-aware applications and possible sources to acquire such social contexts. We will investigate existing context modeling and reasoning techniques and will propose an approach to modeling and reasoning about different types of social contexts. To aid the development of socially aware applications, we will provide a middleware platform for managing the acquisition, changes and provision of social contexts
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The interplay of virtualisation, work design, and business process management: A mixed-methods study
Business Process Management (BPM) has emerged as a fundamental aspect of modern business, revolutionising task execution and operational efficiency. This study explored the relationship between virtualisation and work design as well as their impact on BPM system design. An experiment was established where two simulated BPM systems were given to users to operate, one taking advantage of virtualisation and work design, the other not. A mixed method approach involving both quantitative and qualitative approaches was applied to system and usage data collected from these systems as well as a user survey. The analysis illustrates the potential significance of integrating virtualisation and work design in BPM systems. We provide a reflective discussion linking theoretical understanding with empirical evidence. We found that both components not only enhanced the performance and effectiveness of BPM systems, but also improved flexibility, scalability, and user experience. The data supports that a relationship between virtualised resources and work design exists when incorporated into BPM system design. Further, it provides valuable insights into how these elements interact and impact each other. The findings in this study contribute to building a case that establishes the effect of virtualisation and work design on the usability of BPM systems. These findings have very real practical applications that can be applied to existing BPM systems as well as the architecture of future systems. A number of the recommendations made as a result of this research have been applied to commercially available BPM systems
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