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...
Wang, Xin, Tiropanis, Thanassis and Tinati, Ramine (2016) WDFed: exploiting big data on the Web using Metadata and RESTful APIs. In, MTSR2016: 10th Metadata and Semantics Research Conference, GÃ¶ttingen, DE, 22 - 25 Nov 2016.
Packer, Heather and Moreau, Luc (2016) A methodology to take account of diversity in collective adaptive system. In, International Workshop on Diversity-Aware Artificial Intelligence
Angkananon, Kewalin and Wald, Mike (2016) Extending the technology enhanced accessible interaction framework method for Thai visually impaired people. In, Miesenberger, Klaus, Buhler, Christian and Penaz, Petr (eds.) Computers Helping People with Special Needs. Cham, CH, Springer, 555-559. (Lecture Notes in Computer Science, 9759). (doi:10.1007/978-3-319-41267-2_78).