Defining the Semantic Web
Semantic Web was defined by Tim Berners-Lee, the father of World Wide Web. He defines the Semantic Web as “a web of data that can be processed directly and indirectly by machines.” It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other, enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. Many of the technologies proposed by the Semantic Web already exist and are used in various contexts, particularly those dealing with information that encompasses a limited and defined domain, and where sharing data is a common necessity.
The main purpose of the Semantic Web is driving the evolution of the current Web by allowing users to use it to its full potential, thus allowing them to find, share, and combine information more easily. However, machines cannot accomplish all of these tasks without human direction, because web pages are designed to be read by people, not machines. The semantic web is a vision of information that can be interpreted by machines, so machines can perform more of the tedious work involved in finding, combining, and acting upon information on the web. The Semantic Web is regarded as an integrator across different content, information applications and systems
Tim Berners-Lee on Semantic Web
I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.
Semantic Web in daily usage is referred to as Web 3.0 to express the third generation capabilities of Web in categorizing, indexing and sorting information. With proliferation of data networks prompting a healthy data habit delivered through multiple platforms (Social platforms, Web, TV, Mobiles, Applications and more) and devices ( Smartphones, Feature Phones, Smart TVs, MIDs, Gaming Consoles, Tablets), Web 3.0 will be a great experience generator for customized and relevant consumer experiences.
The ability of the web to analyze meta data will be great for profile focussed, context relevant ads being served. Thus the key features of Semantic Media would be
1. Me-onomy: User is the brand.
2. Active and always on
3. Context and profile aware
4. Presence across platforms and device categories
Semantic Media with its Meta data and WWW-language capabilities could have various interpretation from Web 3.0, Marketing 4.0, Advertisement 3.0, Engagement 3.0, Entertainment 3.0 and more. Semantic Media thus is future that is waiting to happen. Currently in its nascent concept stage, Semantic Media will see threshold by 2015 and go through the roof by 2020.
To be continued