Experiences in Deploying Public Metadata Analysis Tools
This event took place on Friday 15 May 2009 at 11:30
Dr. David Nichols University of Waikato, New Zealand
Current institutional repository software provides few tools to help metadata librarians understand and analyse their collections. In this talk I will discuss two metadata analysis tools: the MAT tool from the New Zealand Digital Library Project at Waikato and the KRIS tool from the National Library of New Zealand. MAT is a public on-demand analyser that uses heuristics and visualisations to aid in metadata assessment. KRIS is part of a national discovery service for research held in institutional repositories and is based around agreed metadata guidelines. Experiences in building and deploying these tools provide a checklist of requirements for future metadata tool provision.
This event took place on Friday 15 May 2009 at 11:30
Dr. David Nichols University of Waikato, New Zealand
Current institutional repository software provides few tools to help metadata librarians understand and analyse their collections. In this talk I will discuss two metadata analysis tools: the MAT tool from the New Zealand Digital Library Project at Waikato and the KRIS tool from the National Library of New Zealand. MAT is a public on-demand analyser that uses heuristics and visualisations to aid in metadata assessment. KRIS is part of a national discovery service for research held in institutional repositories and is based around agreed metadata guidelines. Experiences in building and deploying these tools provide a checklist of requirements for future metadata tool provision.
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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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