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Diapositive 1 Web Science : An Interdisciplinary Approach to Understanding The Web Presented by : Gregory Cardone (Master Toegepaste Informatica) Authors : James hendler, Nigel Shadbolt, Wendy Hall, Tim Berners-Lee, and Daniel Weitzner Content of presentation Introduction of the Web of today The Web is not perfect Why should we introduce a « Web Science » ? E-Learning Social Networking Web 3.0 Conclusion References Introduction of the Web of today Web : part of our daily life Seen as an entity Growing and evolving really fast (in terms of hardware and usage of the Web) Transparant (ask to a regular person if he knows how his web page is delivered to him) Application of the Internet (not as a « interconnection » of machines,...) A delivery vehicule of content,technical or social More and more for social computing (consulting,creating,sharing,...) The Web is not perfect Web is difficult to observe because of its evolution,growth and dynamicity No prediction,understanding of human behaviour No mapping of society and the Web No prediction of a Website « success » No methods for showing and developing Web applications that can evolve/change in the future Why should we introduce a « Web Science » ? The Web is an essential component today,but it ignores allot of properties to really fit the human society Often it is the society that has to adapt to the Web,and not the other way around Sometimes the Web can cause harm to people When developing a web application,there is a “general engineering process” for building it. The end result and functionality is almost the same for all fields in human society Why should we introduce a « Web Science » ? Why should we introduce a « Web Science » ? The tests in the micro cannot predict what will happen on the macro Why should we introduce a « Web Science » ? Computer Science is not enough to make Web applications that fit to our needs We should involve other sciences At least mathematics,artificial intelligence, sociology, psychology, biology, and economics Why should we introduce a « Web Science » ? Physical science = observe,find laws or explain phenomena (« why do we fall down? ») Computer Science = study of formalisms and algorithms in order to obtain a certain behaviour (search engines,...) Web Science = merge the two mentioned sciences : Human interaction,society,creating content on the Web,linking,... = phenomena Algorithms,formalisms,infrastructure, artifical intelligence = piece of engeneering of the Web E-Learning Learning on distance from the Web Is today a facility feature in almost every university Giving the chance to students who cannot access the University system physically Examples of a possible extra facility : Can we use E-Learning as a second option to give a greater opportunity to future students with less revenues,in countries where scholarships do not exist to study on a University level and obtain a diploma? What are the advantages,inconveniences? How are we going to engineer an E-Learning platform/environment to study on distance? E-Learning Instead of making E-Learning environments private,can we make its content freely available to the whole world? → e.g OpenCourseWare How can we improve it in the future? What are the advantages,inconveniences? How can we provide quality of the content? How will license be applied to prevent copyright violations? How will social aspects look like and make it usable for everybody? Social Networking Facebook,MySpace,... Used allot by adolescents Those sites keep them connected with other people (e.g old friends that are on a long distance) It was noted that adolescents build a part of their identity on those sites They spent a big part their time online for fun They talk to other about issues like bullying,sexuality,school,family,... for having advice,comfort and perhaps resolve problems Social Networking Because youngsters are naive they can face other problems due to online contacts : online bullying,pedophiles,... This is a phenomena that has grown up the last years We should study that phenomena and analyze it in detail to improve aspects and solve actual problems Web 3.0 Using metadata (tagging) is ok,but insufficient New level of network abstraction Allow applications to better communicate with each other We do not see « documents » anymore,but real-world objects,people,... Usage of RDF and OWL (e.g for defining the semantic desciption of an application domain) Machines can infer to make conclusions,statistics,... Trust,security,semantic,... how are we going to manage all this in order to be a success? Conclusion The Web is evolving and growing fast,but there are a lot of things we ignore when trying to understand it We cannot predict user behaviour how to make sucessful web applications We must understand human behaviour if we want to make the Web an ideal place to interact There is a lack of models/techniques to study the Web in depth and its dynamicity The Web should extend its study field and group other ones to make it much better : mathematics, CS, artifcial intelligence, sociology, psychology, biology, and economics References BFFE (Be Friends Forever): the way in which young adolescents are using social networking sites to maintain friendships and explore identity - http://journal.webscience.org/167/ Web and education, a successful open entanglement - http://journal.webscience.org/139/ http://www.educationalconnections.com/imag es/services_adolescent_computer.jpg References http://1.bp.blogspot.com/_HUD5jWhDN2s/SQ DJH5N7BfI/AAAAAAAAAC0/o9hcQbeSIZ8/s 400/FallStairs.jpg http://moralfibre.co.za/talita/files/2009/10/falli ng.gif http://pages.usherbrooke.ca/ncliche/wordpres s/wp-content/g185.gif http://pubs.niaaa.nih.gov/publications/MakeA Diff_HTML/asians.jpg References http://blog.leiweb.it/marinaterragni/files/2009/ 02/cyber-bully.jpg http://www.stolaf.edu/services/hr/facebook_lo go.png.
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