Adaptive Fluid Cross-Media Document Model

Type of Thesis: 
Master Thesis
Content adaptation capabilities will be a major challenge for document formats in the age of ubiquitous computing. It is a fact that some document types are often just displayed on digital devices rather being printed on paper. Furthermore, with the recent advent of smart phones, documents also have to adapt to pocketsize screens. However, document formats which were originally designed for A4 or letter-size printing have a hard time when being displayed in a readable manner on smartphones and cannot easily be adapted to mobile users and their environments.  
 
Several approaches for delivering adaptive content over heterogeneous and dynamic environments have been investigated in the past. In these approaches, often the markup languages play a major role in providing an adapting content for different contexts. Some of these approaches try to extend existing languages and content models with new elements and attributes. Other approaches define new device independent languages. Still other approaches suggest the automatic processing of the document to make it compatible with different classes of devices or suggest the creation of multiple versions of the same document, each of them targeted to a given class of devices.
 
Cross-Media Information Spaces
 
In this thesis, the student will work on the Fluid Cross Media Document Format metamodel, which is based on the concepts defined in the Resource-Selector-Link (RSL) metamodel [1,2,3] developed by members of the WISE research group. The goal of the project is to extend the conceptual model for fluid cross-media document formats in order to support content adaptation and provide a proof of concept implementation based on the extended model.
 
This thesis is going to be executed in three different phases. The first phase will be devoted to a thorough study of the state of the art in content adaptation. In the second phase, the student is expected to extend the metamodel for fluid cross media documents in order to support content adaptation. In the last phase, a proof of concept application will be realised based on the extended fluid cross-media document model.
 
[1] Beat Signer and Moira C. Norrie, As We May Link: A General Metamodel for Hypermedia Systems, Proceedings of ER 2007, 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 2007
[2] Beat Signer, What is Wrong with Digital Documents? A Conceptual Model for Structural Cross-Media Content Composition and Reuse, Proceedings of ER 2010, 29th International Conference on Conceptual Modeling, Vancouver, Canada, November 2010
[3] Beat Signer and Moira C. Norrie, A Model and Architecture for Open Cross-Media Annotation and Link Services, Information Systems 36(3), Elsevier, May 2011
 
Background Knowledge: 
  • Java
  • HTML5 and Web Technologies (AJAX, JQuery, etc.)
Technical challenges: 
  • study of the state of the art in content adaptation
  • definition/extension of the fluid cross-media document metamodel
  • implementation of a proof of concept application making use of adaptive fluid cross-media documents
Contact: 
Beat Signer
Contact: 
Bruno Dumas
Academic Year: 
2012-2013