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* '''Web 3.0''': The final step in the decomposition of monolithic Web Pages into discrete components that include: Presentation (HTML and (X)HTML), Logic (Web Services APIs), and Data (Data Models) trinity that transitions Web Data containment from Web Pages to Web Data. It's emergence simplifies the development and deployment of Data Model driven [[composite applications]] that provide easy, transparent and organized access to “the world’s data, information, and knowledge”{{Fact|date=February 2007}}<br/>.
If you look at Web interaction through the lenses of the popular [[MVC|M-V-C]] pattern, then Web 3.0 is the "M" where Web 2.0 is the "C" and Web 1.0 the "V"{{fact|date=March 2007}}.
[[Tim Berners-Lee]] stated<ref>{{cite web
| url = http://dig.csail.mit.edu/2007/03/01-ushouse-future-of-the-web.html
| title = Future of the Web
| accessdate = 2006-05-24
| author = Daniel J. Weitzner (CSAIL)
| date = 2007-03-01
| work = estimony before Before the United States House of Representatives
Committee on Energy and Commerce
}}</ref>:
{{cquote|Digital information about nearly every aspect of our lives is being created at an astonishing rate. Locked within all of this data is the key to knowledge about how to cure diseases, create business value, and govern our world more effectively. The good news is that a number of technical innovations ([[RDF]] which is to data what HTML is to documents, and the [[Web Ontology Language]] (OWL) which allows us to express how data sources connect together) along with more openness in information sharing practices are moving the World Wide Web toward what we call the Semantic Web. Progress toward better data integration will happen through use of the key piece of technology that made the World Wide Web so successful: the link. The power of the Web today, including the ability to find the pages we're looking for, derives from the fact that documents are put on the Web in standard form, and then linked together. The Semantic Web will enable better data integration by allowing everyone who puts individual items of data on the Web to link them with other pieces of data using standard formats.
To appreciate the need for better [[data integration]], compare the enormous volume of experimental data produced in commercial and academic drug discovery laboratories around the world, as against the stagnant pace of drug discovery. While market and regulatory factors play a role here, life science researchers are coming to the conclusion that in many cases no single lab, no single library, no single genomic data repository contains the information necessary to discover new drugs. Rather, the information necessary to understand the complex interactions between diseases, biological processes in the human body, and the vast array of chemical agents is spread out across the world in a myriad of [[database]]s, [[spreadsheet]]s, and [[document]]s.
Scientists are not the only ones who need better data integration. Consider the investment and finance sector, a marketplace in which profit is generated, in large part, from having the right information, at the right time, and reaching correct conclusions based on analysis and insight drawn from that information. Successful investment strategies are based on finding patterns and trends in an increasingly diverse set of information sources (news, market data, historical trends, commodity prices, etc.). Leading edge financial information providers are now developing services that allow users to easily integrate the data they have, about their own portfolios or internal market models, with the information delivered by the information service. The unique value creation is in the integration services, not in the raw data itself or even in the software tools, most of which will be built on open source components.
New data integration capabilities, when directed at personal information, pose substantial privacy challenges which are hardly addressed by today's privacy laws. The technology of today's Web already helps reveal far more about individuals, their behavior, their reading interest, political views, personal associations, group affiliations, and even health and financial status. In some cases, this personal information is revealed by clever integration of individual pieces of data on the Web that provide clues to otherwise unavailable information. In other cases, people actually reveal a lot about themselves, but with the intent that it only used in certain contexts by certain people. These shifts in the way we relate to personal information require serious consideration in many aspects of our social and legal lives. While we are only just beginning to see these shifts, now is the time to examine a range of legal and technical options that will preserve our fundamental privacy values for the future without unduly stifling beneficial new information processing and sharing capabilities. Our research group at MIT is investigating new technologies to make the most of the Semantic Web, as well as both technical and public policy models that will help bring increased transparency and accountability to the World Wide Web and other large scale information systems.[8] Our belief is that in order to protect privacy and other public policy values, we need to research and develop new technical mechanisms that provide great transparency into the ways in which information in the system is used, and provide accountability for those uses with respect to what ever are the prevailing rules.|20px|20px|[[Tim Berners-Lee]]}}
==Web 3.0 Debates==
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