The September 2006 presentation evening was held at the
Oxford University Computing Labs (OX1 3QD), from 6.30-8.30pm on
13 September 2006. The presenters were:
Nigel Magnay, CSW Group
Data Munging for Fun and No Profit
A couple of 'just for kicks' projects that re-purpose 3rd party information and allow you to use it in ways not originally intended by the providers; some of the challenges faced in fetching and integrating the data.
Steve Harris, University of Oxford
On the gathering of semantically interoperable data: lessons from clinical research
Clinical research has achived varying degrees of semantic interoperability in its data collection practices, the "Early Phase Breast Cancer Collaborative Group" being the most successful. I will outline the cancergrid approach to the declaration of data collection practices in support of such groups, and show how this approach, combined with suitable experimental models, can be used to generate software systems that collect data with explicitly declared semantics which are suitable for the composition of semantic webs.
Katie Portwin, Ingenta
Metadata Integration with SPARQL. (OR: How to avoid being swallowed by your Massive Triplestore)
Here in the Ingenta Metadata group (http://www.ingentaconnect.com/) we've recently been building a massive triplestore full of bibliographic metadata. It contains 200m triples and integrates metadata from a variety of existing in-house databases. The next challenge is to enhance this content with metadata from other sources - from out there on the sweb, and even from within the organisation. What are the challenges involved, and what techniques are we looking at?
Graham Klyne/David Shotton, University of Oxford
Data Webs
Plans for a lightweight software framework applying Web and Semantic Web ideas to discovery of biological research images and data across multiple repositories and linking research group laboratory images and data to institutional repositories.
Kal Ahmed, Networked Planet
Movies, Catalogs and the Semantic Web
A short tour around a project making use of topic maps to explore find something good to watch.