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Estimating agent's skill ratings from team competition results has many applications in the real world. Existing models assume skills are the same for all contexts. However, skills are context-sensitive in a variety of cases. In this paper, we present a Factor-Based Context-Sensitive Skill Rating System(FBCS-SRS). Instead of estimating agent skills under every context, which is hard due to data sparisity,...
In this paper we define an ontological model to accurately represent the context in Pervasive Computer Supported Collaborative Work. A major issue in this domain is the mass of information required to correctly depict a situation. As we need to represent users and devices according to multiple aspects (physical, computational, social ...) the amount of information can quickly become unmanageable....
A major activity performed by the manager before starting a software project is tailoring its development process. Such activity requires information about the context under which the project will be executed, including organizational, project, and team characteristics. In addition, it also requires pondering many factors and evaluating all existing constraints. In this scenario, we claim that a balance...
Service-oriented architectures (SOA) are becoming the dominant computing paradigm, where all resources are abstracted as services to form services society. Open-access and easy-visiting of services are keys to services eco-system, thus service search engines will play an increasingly important role. Generally retrieved services are listed and ranked by the content similarities to queries. One problem...
Trust has been proven to be essential to enforce cooperative behavior in distributed environments. In Trustworthy computing, it should capture contextual information to evaluate peers' trustworthiness because of context directly affects the level of trust. So, a context-sensitive computation model is presented to help user to make trust decision.
Current service cloud models can be easily seen as application-centered: they provide an access point to services and artifacts but, including them as separate resources, they do not offer a unified and cross-application perspective on users' activities. As an answer to this issue, we present a user-centered cloud model which, by enabling services to synchronize on a unified context, enhances users'...
Recently, context-aware recommender systems (CARS), which incorporates contextual information into recommender systems, has become one of the hottest topics in the domain of recommender systems. In this paper, we identify and discuss some challenges for context-aware recommender systems, including viewing it as a process, valid contexts discovering and computing, contextual user preference elicitation,...
In the context of e-health, professionals and healthcare service providers in various organisational and geographical locations are to work together, using information and communication systems, for the purpose of providing better patient-centred and technology-supported healthcare services at anytime and from anywhere. However, various organisations and geographies have varying contexts of work,...
In this paper we present an hybrid architecture for a computer supported collaborative work in pervasive computing environment simulator. This architecture supports pure simulation mode where all agents are simulated, real deployment where it seamlessly integrates pervasive computing to the computer supported collaborative work and finally an hybrid mode where real devices can interact with simulated...
Making collaborative work environments fit the needs of changing collaboration situations is currently supported by collaborative tailoring or customization approaches requiring end-users to actively take initiative of tailoring or customization. We propose to avoid this overhead by (1) context-based adaptations of collaboration environments and (2) supporting a process model guiding the interaction...
Distributed collaboration in a shared workspace involves flexible switching between emerging collaboration situations demanding appropriate technology support thus requiring modification of the shared workspace. We argue that manual tailoring creates large overhead for team members that can be reduced by employing our context-based adaptation approach. Six requirements for team-based adaptation of...
In this paper, we present a DSC (Dynamic Shared Context) model which bases on collaborative learning environment. Firstly, we present the DSC methodology. This is a way to measure the relevance between events and roles in the collaborative environment. We can share the most appropriate event information for each specific role with this measurement. Then, we apply and verify this method in our project...
Recommendation technologies are considered a major technological trend in both industrial and academic environments. This growing interest was highlighted by, e.g., the Netflix prize which generated an intense competition. Recommender systems are crucial to support users and help them by suggesting resources relevant at a given instant. On the other hand, these systems are a core piece of e-commerce...
Incorporating service composition and pervasive computing into managing user's complex everyday activities envisions the paradigm of pervasive service composition for everyday life. Context-aware pervasive service composition (CAPSC) enables a pervasive system to provide a user with service compositions that are relevant to the user's context. Moreover, CAPSC enables composition applications that...
Context-awareness involved in e-learning includes awareness to knowledge context, awareness to social context, and awareness to technical context. This study proposes the use of context-awareness for personalized learning content recommendation in e-learning environments, and discusses the key steps in the recommendation mechanism.
A key requirement for a distributed collaborative application is that all participants see the same copy of a shared window-object at different points in time (WYSIWIS). This is needed to maintain a cohesive view of the problem. We recognize that user actions are generated based on their understanding of the context of the problem, where context is defined in terms global view of the shared window...
Context-awareness service is one of the key features of ubiquitous paradigm. To intelligently and sensitively deal with the dynamic environment, a methodology effectively enabling the agent-based distributed reasoning needs to be developed. The existing modeling approaches focus on scenario-based acquisition, management, and representation of context. However, they are difficult to be adapted to agent-based...
The Web2.0 concept encourages rich information exchanging and enables individuals to collaborative with others for content co-creation. Extensive interactions empower brainstorming and leads to numerous innovative ideas. The collective effort of user groups in the cyberspace have becomes an emergent division of social intelligence. Unlike traditional animal social behaviors that physically tight linked...
How to name the topological entities is the footstone of collaborative modeling systems. This paper presents a method to correspond topological entities in non-quiescent context of replicated collaborative CAD system. The proposed method adopts an automatic undo/do/redo mechanism to restore the definition context of CAD command to achieve a consistent naming mechanism in non-quiescent context.
nCompass is a flexible, Service Oriented Architecture (SOA) designed to support the research and deployment of advanced tacit collaboration technology services for analysts. nCompass allows a significantly larger number of individual analytic capabilities, applications and services to be integrated together quickly and effectively. Service integration results are described from several computational...
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