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Knowledge and Data Engineering for e-Learning Special Issue of IEEE Transactions on Knowledge and Data Engineering
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TLDR
In this special issue, the focus will be on the technical side, although other issues related to knowledge and data engineering for e-Iearning may also be considered.Abstract:
With the advent of the Internet, we are seeing more sophisticated techniques being developed to support e-Iearning. The rapid developme nt of Web-based learning and new concepts like virtual classrooms, virtual laboratories and virtual universities introduces many new issues to be addressed. On the technical side, we need to develop effective e-technologies for supporting distance education. On the learning and management side, we need to consider issues such as new style of learning and different system set-u p requirements. Finally, the issue of standardization of e-Iearning systems should also be considered. In this special issue, our focus will be on the technical side, although other issues related to knowledge and data engineering for e-Iearning may also be considered. Topics: In this special issue, we call for original papers describing novel knowledge and data engineering techniques that support e-Iearning. Preference will be given to papers that include an evaluation of users' experience in using the proposed methods. Areas of interests include, but are not limited to: • Semantic Web technology for e-Iearning • Data modeling (eg., XML) for efficient management of course materials • Searching and indexing techniques to suppo rt effective course notes retrieval • User-centric e-Iearning systems and user interaction management • Profiling techniques to support grading and learning recommendation • Data and knowledge base suppo rt for pervasive e-Iearning • Course material analysis and understanding • Automatic generation of questions and answers • Collaborative communities for e-Iearningread more
Citations
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Journal ArticleDOI
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
Peter J. Mucha,Thomas Richardson,Thomas Richardson,Kevin Macon,Mason A. Porter,Jukka-Pekka Onnela +5 more
TL;DR: A generalized framework of network quality functions was developed that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices.
Journal ArticleDOI
Ontology Matching: State of the Art and Future Challenges
Pavel Shvaiko,Jérôme Euzenat +1 more
TL;DR: It is conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching and presents such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field.
Journal ArticleDOI
Performance of modularity maximization in practical contexts
Benjamin H. Good,Benjamin H. Good,Yves-Alexandre de Montjoye,Yves-Alexandre de Montjoye,Aaron Clauset +4 more
TL;DR: It is shown that the modularity function Q exhibits extreme degeneracies: it typically admits an exponential number of distinct high-scoring solutions and typically lacks a clear global maximum, implying that the output of any modularity maximization procedure should be interpreted cautiously in scientific contexts.
Journal ArticleDOI
Outlier Detection for Temporal Data: A Survey
TL;DR: A comprehensive and structured overview of a large set of interesting outlier definitions for various forms of temporal data, novel techniques, and application scenarios in which specific definitions and techniques have been widely used is provided.
Journal ArticleDOI
Stability of graph communities across time scales.
TL;DR: In this paper, the authors introduce the stability of a partition, a measure of its quality as a community structure based on the clustered autocovariance of a dynamic Markov process taking place on the network.
References
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Journal ArticleDOI
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
Peter J. Mucha,Thomas Richardson,Thomas Richardson,Kevin Macon,Mason A. Porter,Jukka-Pekka Onnela +5 more
TL;DR: A generalized framework of network quality functions was developed that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices.
Journal ArticleDOI
Ontology Matching: State of the Art and Future Challenges
Pavel Shvaiko,Jérôme Euzenat +1 more
TL;DR: It is conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching and presents such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field.
Journal ArticleDOI
Performance of modularity maximization in practical contexts
Benjamin H. Good,Benjamin H. Good,Yves-Alexandre de Montjoye,Yves-Alexandre de Montjoye,Aaron Clauset +4 more
TL;DR: It is shown that the modularity function Q exhibits extreme degeneracies: it typically admits an exponential number of distinct high-scoring solutions and typically lacks a clear global maximum, implying that the output of any modularity maximization procedure should be interpreted cautiously in scientific contexts.
Journal ArticleDOI
Outlier Detection for Temporal Data: A Survey
TL;DR: A comprehensive and structured overview of a large set of interesting outlier definitions for various forms of temporal data, novel techniques, and application scenarios in which specific definitions and techniques have been widely used is provided.
Journal ArticleDOI
Discovering Activities to Recognize and Track in a Smart Environment
TL;DR: This paper introduces an automated approach to activity tracking that identifies frequent activities that naturally occur in an individual's routine and can then track the occurrence of regular activities to monitor functional health and to detect changes in anindividual's patterns and lifestyle.