ALOE
This event took place on Wednesday 28 November 2007 at 11:30
Mr Martin Memmel German Research Center for AI
In this presentation the requirements of a framework for sharing digital resources and metadata to meet the needs of open, flexible e-learning solutions will be discussed.
The changing nature of the Web and its users as observed in recent years clearly establishes the need for new approaches and technologies to fully exploit the potential for working with existing digital resources.
Formal metadata about the resources can be combined with information created in lightweight and user-centric approaches in order to significantly enhance resource descriptions and enable more efficient access to existing knowledge. The ALOE system, currently in development at DFKI, is one such solution and will be presented as a realization of an appropriate framework.
Due to ongoing refurbishment of our webcasting equipment this event will not be webcast or recorded.
This event took place on Wednesday 28 November 2007 at 11:30
In this presentation the requirements of a framework for sharing digital resources and metadata to meet the needs of open, flexible e-learning solutions will be discussed.
The changing nature of the Web and its users as observed in recent years clearly establishes the need for new approaches and technologies to fully exploit the potential for working with existing digital resources.
Formal metadata about the resources can be combined with information created in lightweight and user-centric approaches in order to significantly enhance resource descriptions and enable more efficient access to existing knowledge. The ALOE system, currently in development at DFKI, is one such solution and will be presented as a realization of an appropriate framework.
Due to ongoing refurbishment of our webcasting equipment this event will not be webcast or recorded.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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