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...
Khan, Arshad, Tiropanis, Thanassis and Martin, David (2017) Crowd-annotation and LoD-based semantic indexing of content in multi-disciplinary web repositories to improve search results In ACSW '17 Proceedings of the Australasian Computer Science Week Multiconference. ACM. 12 pp. (doi:10.1145/3014812.3014867).
Ell, Basil, Harth, Andreas and Simperl, Elena (2014) SPARQL query verbalization for explaining semantic search engine queries In, Presutti, Valentina, d'Amato, Claudia, Gandon, Fabien, d'Aquin, Mathieu, Staab, Steffen and Tordai, Anna (eds.) The Semantic Web: Trends and Challenges. Cham, CH, Springer International Publishing pp. 426-441. (doi:10.1007/978-3-319-07443-6_29).