A dynamic grouping technique for ink and audio notes
Proceedings of the 11th annual ACM symposium on User interface software and technology
Data mining: concepts and techniques
Data mining: concepts and techniques
Dynamic Generation of Intelligent Multimedia Presentations through Semantic Inferencing
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Finding the story: broader applicability of semantics and discourse for hypermedia generation
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
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The art of authoring digital multimedia involves collecting and organizing different sorts of media items and transforming them into a coherent presentation. Existing authoring tools for multimedia presentations provide functional support for the authoring process that requires domain knowledge or presentation skills. The authoring process can be enhanced if the authors are supported with decision making, material collection, selection, and presentation composition in generating web presentations. We apply the semantic web technology to generate hypermedia presentations based on media resources retrieved from the web. A discourse model represents the discussion of a subject with a theme supported by a discourse structure that represents the arrangement of contents in a discourse. In this paper we define a discourse model (i.e. Neural Network Architecture) that specifies the knowledge of composing various discourse entities (e.g. Feed-Forward Neural Networks) which enables the building of discourse structures for various themes (e.g. Lecture Notes).