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Wendy Hall is Professor of Computer Science at the University of Southampton, UK, and Dean of the Faculty of Physical and Applied Sciences. She was Head of the School of Electronics and Computer Science (ECS) from 2002 to 2007. In 2008, she was appointed as a guest professor at Tsinghua University. Her current research includes applications of the Semantic Web and exploring the interface between the life sciences and the physical sciences. The influence of her work has been significant in many areas including digital libraries, the development of the Semantic Web, and the emerging research discipline of Web Science. She is Managing Director of the Web Science Trust.She became a Dame Commander of the British Empire in the 2009 UK New Year's Honors list, and was elected a Fellow of the Royal Society in June 2009. She was elected President of the Association for Computing Machinery (ACM) in July 2008, and was the first person from outside North America to hold this position. Until July 2008, she was Senior Vice President of the Royal Academy of Engineering, was a member of the UK Prime Minister's Council for Science and Technology, and was a founder member of the Scientific Council of the European Research Council. She was the President of the British Computer Society(2003-2004) and an EPSR Senior Reseacher Fellow from 1996 to 2002.
Abstract: In this talk, we will reflect on the evolution of the Web. We will do this by analysing the reasons why it became the first truly ubiquitous hypertext system against all competitors, and then by looking both at the way it has evolved from a network of linked documents to a system that facilitates social networking on a scale previously unimaginable, and at how it will evolve in the future as a network of linked data and beyond. The study of the Web—its evolution and its impact on society, on business, and on government—is referred to as Web science. Another way of characterising this new discipline, which is inherently social-technical in nature, is as the theory and practice of social machines. To study social machines we need to develop new research methodologies and draw on many different disciplines. The talk will conclude by considering the progress that has been made so far in this important new area of research, and ways to tackle the major challenges going forward.
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