Web and Internet Science Research Group
Welcome to the website of the Web and Internet Science (WAIS) group, an interdisciplinary team of people who have dedicated their efforts to better understand the origin, evolution and growth of the World Wide Web and the Internet. WAIS is one of the seven members of the Electronics and Computer Science (ECS) Academic Unit in the Faculty of Physical Sciences and Engineering.
SOCIAM - Social Machines - will research into pioneering methods of supporting purposeful human interaction on the World Wide Web, of the kind exemplified by phenomena such as Wikipedia and Galaxy Zoo. These collaborations are empowering, as communities identify and solve their own problems, harnessing their commitment, local knowledge and embedded skills, without having to rely on remote experts...
Tsakalakis, Niko, Stalla-Bourdillon, Sophie and O'Hara, Kieron (2016) What's in a name: the conflicting views of pseudonymisation under eIDAS and the General Data Protection Regulation. Lecture Notes in Informatics, 1-8.
Fabre, Arthur, Martinez, Kirk, Bragg, Graeme, Basford, Philip, Hart, Jane, Bader, Sebastian and Bragg, Olivia (2016) Deploying a 6LoWPAN, CoAP, low power, wireless sensor network. At ACM Conference on Embedded Networked Sensor Systems ACM2pp. (http://dx.doi.org/10.1145/2994551.2996707).
Khan, Arshad, Tiropanis, Thanassis and Martin, David (2015) Exploiting semantic annotation of content with linked open data (LOD) to improve searching performance in web repositories of multi-disciplinary research data. In, 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, RU, 24 - 28 Aug 2015. Cham, CH, Springer International Publishing, 130-145. (doi:10.1007/978-3-319-41718-9_7).