Web 3.0
The term Web 3.0 should not be
misinterpreted as just another upgrade with a few new features. When Web 3.0 does come around it will be a
new era of internet that incorporates groundbreaking technology into our
everyday internet browsing and networking.
Some examples may include artificial intelligence, increasing use of
virtual worlds, and . First though
an understanding of its predecessor’s web 1.0 and 2.0 will help to visualize
what the future of the World Wide Web may hold.
Web 1.0 is very limiting when it
comes to user interaction. The user may
view webpages and related links within pages but cannot change or input
information of their own. Only the
individual or group that created the web page is authorized to edit or input
media, text, and hyperlinks to the page.
Web 2.0 on the other hand uses a technologies such as JavaScript, Adobe
Flash, and Adobe Flex to allow users to input or view information without
re-loading the web page. Some examples
of Web 2.0 are blogging, social networking, and podcasting. All of these allow multiple users to upload
text or media files for each other to view instantaneously. Tagging on social network sites allows for
the same material to be seen on each site the tagger is affiliated with
creating a great tool for either marketing or personal social
interactions.
When we search for things using
browsers or search engines they collect our results and in some cases survey
how relevant the results we received are.
Another example of this is through social media such as facebook when
people “like” a page or someone hashtags something on twitter these pages are
viewed more and are more popular.
Unfortunately this can be manipulated by people looking to make
something more popular for either financial or social gain by skewing
results. One goal that is associated
with Web 3.0 is the use of artificial intelligence within the web. For example, if a person is trying to make a
web page selling a product more popular using social media when in truth the
product is not selling well or has defects, Web 3.0 can tell the difference
between the two and not suggest that website when asked about said product.
Artificial intelligence is also
necessary to achieve the Web 3.0 goal of a “Semantic” Web.
The definition of semantic
is: Relating to meaning in language or
logic. Furthermore the “Semantic” web
presents information in a way that computers can understand it in a similar way
humans do. The most recent example of
this is the supercomputer developed by IBM known as Watson. Watson was developed to take meaning out of
language that a computer normally would not and the best test of this was when
Watson played on the game show Jeopardy.
The computer proved its worth beating two contestants out and showed
that the sometimes subtle meanings that we can convey with turns of phrase or a
play on words are not incomprehensible by machines. Therefore, a tag team of artificial
intelligence and an understanding of semantics could allow Web 3.0 to
efficiently process information and present us with the most accurate and
relevant information possible.
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Very good discussion. Try to integrate your links into the text. 15/15
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