Seminars [279]

Forthcoming Events [0]

Past Events [279]
 
 

News

 
KMi Seminars
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.

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

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.