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KMi Seminars
The Web in Science and Research
This event took place on Tuesday 24 July 2012 at 11:30

 
Peter Kraker Know-Center, Graz University of Technology


 In this presentation, Peter will talk about the involvement of the web in the scientific process. He will attempt to contextualize this area within the field of web science and present four core research topics. These core topics are: (1) the development of an online infrastructure for researchers; (2) the appropriation of web tools for researchers; (3) the change in scientific practices and the open science movement; and (4) the analysis of data generated by researchers on the (social) web. He then will show results for each topic from two EU projects: STELLAR, a network of excellence in Technology Enhanced Learning; and TEAM, a Marie Curie project concerned with academic knowledge management. Peter will conclude with an outlook on the transformational potential of the web in science and research.



 
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.

Visit the MMIS website