KMi Seminars
Innovative Information and Knowledge Infrastructures
This event took place on Wednesday 07 December 2005 at 12:30

 
Wolfgang Nejdl Learning Lab Lower Saxony [L3S], University of Hannover, Germany

L3S research focuses on three key enablers for the European Information Society, namely Knowledge, Information and Learning, and combines this with a strong commitment to service to its affiliated universities in the field of eLearning. The first part of the talk will review my project background in this context and highlight some of the projects currently running at L3S under my supervision.

The second part focuses on "Personal Information Management" as guiding theme for several of these projects. Personal information management infrastructures provide advanced functionalities for accessing information from institutional repositories / digital libraries as well as personal collections, and facilitate knowledge sharing and exchange in work and learning contexts. Federated and peer-to-peer infrastructures, integrated search on metadata and full-text collections, and advanced personalization and ranking algorithms play an important role in this context.

Download PDF of presentation (2.5Mb ZIP file)

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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