KMi Seminars
Greenstone Tales
This event took place on Thursday 11 February 2010 at 14:00

 
Dr David Bainbridge University of Waikato, New Zealand

The Greenstone software typifies what we have perhaps come to think of as the "classic" form of digital library: Web based with access to content through searching and browsing. Countless digital libraries have been formed with Greenstone since its release on SourceForge in 2000: from historic newspapers to books on humanitarian aid; from eclectic multimedia content on pop-artists to curated First editions of works by Chopin; from scientific institutional repositories to personal collections of photos and numerous other document formats. In this talk I will track the history of the project and reflect on the lessons we have learned over this time. Greenstone is also a highly versatile framework for research. In our lab we are experimenting with forms of digital library software that challenge the status quo. In this talk I will demonstrate a range of these prototypes. In particular:

A realistic books visualizer that brings back many of the advantages of the codex that were lost with the move to accessing content through Web pages and its ubiquitous scroll-bar.

An iPod that has been reprogrammed to become a self-contained portable digital library that has truly vast storage -- available at your fingertips, wherever you are.

Seamless Web editing that removes the barrier between readership and authorship. Edit *any* Web page in the world, and have it stored in your own private digital library for later access.

 
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