Social question and answering (Q&A) is one of the most effective approaches to knowledge acquisition using information seeking and collaboration. Most modern social Q&A systems use a static points-based user reputation model, which has the effect of diminishing the value of experts. In order to overcome this issue, we have developed a dynamic points-based user reputation model that takes user rating and social network analysis as input. The impact weight of each relation and user ratings are not static but are dependent on the current level of asker and answerer and on the difficulty level of the question. We propose a novel social Q&A platform that is the confluence of different features of social network, social Q&A, and the dynamic points-based user reputation model. The beta version of the system was evaluated by conducting a clinical study for 4 months in different academic environments. The results show that the proposed social Q&A outperforms the available static points-based social Q&A systems in representing the actual user reputation with an increased user satisfaction.
Ubiquitous Computing has enabled users to perform their computer activities anytime, anyplace, anywhere while performing other routine activities. Voice-based interaction often plays a significant role to make this possible. Presently, in voice-based interaction system communicates information to the user sequentially whereas users are capable of noticing, listening and comprehending multiple voices simultaneously. Therefore, providing information sequentially to the users may not be an ideal approach. There is a need to develop a design strategy in which information could be communicated to the users through multiple channels. In this paper, a design possibility has been investigated that how information could be communicated simultaneously in voice-based interaction so that users could fulfil their growing information needs and ultimately complete multiple tasks at hand efficiently.
Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014International audienceThe development of scientific documents is an iterative process. Scientific documents go through a continuous informal review phase during writing process and as a result keep changing. The informal review changes are casually recorded. The key issue for maintaining the changes in scientific document is to maintain the review history of individual components within source file at component level. Scientific document is meaningfully organized and it can be easily transformed into an ontology. For this purpose, we use Document Ontology to map each component of the scientific document and manage changes in this ontology by enhancing an already existing technique of semantic repository versioning. In this paper, we explore document change process using semantic versioning and provide the review comments history along each change. In addition, we define a usage scenario to present the viability and benefit of our approach. To achieve this, we developed a prototype system which represents the meaningful track of change in individual components of a scientific document, provides the review comments history along each change and at the end of document writing the author can see the progress report
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