Links to papers, talks and other publications in the media, highlighting the academic research and thought leadership undertaken by Seme4 founders and staff
Research paper by Gianluca Correndo, Antonio Penta, Nicholas Gibbins and Nigel Shadbolt describing a statistical and qualitative analysis of the network of instance level equivalences in the linking open data cloud.
Plan for 2012 and beyond for the world’s first ever Open Data Institute (ODI) headed up by Professor Nigel Shadbolt, covering the institute’s mission, objectives and work plan.
Research paper by Alex L. Wood, Geoff V. Merrett, Steve R. Gunn, Bashir M. Al-Hashimi, Nigel R. Shadbolt and Wendy Hall, on a new architecture for context awareness which achieves a good balance between energy consumption and reliable context identification.
Interview with Nigel Shadbolt in “Wired” magazine on plans for the Open Data Institute and what it can offer private and public organisations and individuals.
Research paper by Tope Omitola, Andre Freitas, Edward Curry, Sean ORiain, Nicholas Gibbins and Nigel Shadbolt on a formal model of IDT (Interactive Data Transformation). IDT tools allow re-purposing of data by standardisation of heterogeneous data sets. They can also perform data quality assurance. The paper discusses the implementation and validation of the model on the IDT platform Google Refine.
Interview with Wendy Hall in the New Straits Times, discussing her career path, the computer geek label and the need to encourage women to study Computer Science.
A paper by Igor Popov, M. C. Schraefel, Gianluca Correndo, Wendy Hall and Nigel Shadbolt on “Mash-point:” a new framework for a user-friendly system to enable access to linked data.
A paper by Hugh Glaser and Harry Halpin, published in the IEEE (Institute of Electrical and Electronics Engineers) Internet Computing magazine, suggesting various methods for using linked data to solve the problem of identity.
A research paper by Yunjia Li, Mike Wald, Tope Omitola, Nigel Shadbolt and Gary Wills on using Linked Data principles to reference, describe, interlink or search media fragments (e.g. an area of an image or a segment of a video). The paper includes a discussion of the implementation of a model to allow Google to index media fragments, which will increase their online presence.