Semantic Web Technologies
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desired. Today’s web is a kind of syntactic web in which information on the web page
is presented by computers and human users are responsible for interpretation and
identification of significant information out of it [4]. However, due to huge volume
of digital data, identification and interpretation of relevant data has become more
demanding from the perspective of human users. So, in such scenario, assistance
from the computers is expected to support this demanding process. However, in order
to make the computers supportive for identification and interpretation of relevant
data, we need to develop the web content which are understandable by computers.
Therefore, the credit of roots of Semantic web-the revolutionary concept was given
to Sir Tim Berners-Lee in 2001. According to Berner-Lee semantic web should be
as decentralized as possible like syntactic web. With the help of software programs
provided by Semantic Web, extraction of metadata from published information has
become possible. This metadata is interpretable by machines. In other words, we’re
applying new data descriptors to web content and data already existing. This allows
computers to create concrete interpretations close to the way in which information
is interpreted by humans to attain their goals.
As per the Tim Berners Lee, the ultimate goal of semantic web is to allow
computers to exploit knowledge more effectively on behalf of humans. “Semantic
Web” phrase has two expressive words in it. Here, Semantic” refers to computerprocessed data or what the system may do with data. Whereas “Web” conveys the
concept of an interconnected object navigable space with URI mappings to resources.
Information Retrieval (IR), Internet of Things (IOT) and Personal Assistants (PA)
are the three things under the umbrella of Semantic web used to realize the original
vision of it. However, to actualize the todays’ vision Linked Open Data and Semantic
Metadata is evolved as two primary things.
Semantic Web can function effectively if data stored on computers is well structured as well as well-organized. Automatic reasoning is possible with the help of
complete set of inference rules.
2.1 Linked Open Data (LOD)
A strong hybrid of Linked Data and open data is Linked Open Data This LOD makes
use of open sources. According to Tim Berners-Lee’s clearest description, LOD is
Linked Data published under an open license which does not obstruct its free reuse.
Semantic web tries to establish links between the datasets which can be processed
by not only humans but also computers and linked data provides ways to establish
these links. Linked Data is a set of design standards for the exchange of interlinked
machine-readable data over the Internet. When use and distribution of data can be
made free (subject to condition), it is called Open Data. However, open data and
linked data are not equal. It is possible that open data is not linked and linked data is
not open for reuse and distribution. Hence, this new blend of Linked Open Data was
introduced by W3C community [5].
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desired. Today’s web is a kind of syntactic web in which information on the web page
is presented by computers and human users are responsible for interpretation and
identification of significant information out of it [4]. However, due to huge volume
of digital data, identification and interpretation of relevant data has become more
demanding from the perspective of human users. So, in such scenario, assistance
from the computers is expected to support this demanding process. However, in order
to make the computers supportive for identification and interpretation of relevant
data, we need to develop the web content which are understandable by computers.
Therefore, the credit of roots of Semantic web-the revolutionary concept was given
to Sir Tim Berners-Lee in 2001. According to Berner-Lee semantic web should be
as decentralized as possible like syntactic web. With the help of software programs
provided by Semantic Web, extraction of metadata from published information has
become possible. This metadata is interpretable by machines. In other words, we’re
applying new data descriptors to web content and data already existing. This allows
computers to create concrete interpretations close to the way in which information
is interpreted by humans to attain their goals.
As per the Tim Berners Lee, the ultimate goal of semantic web is to allow
computers to exploit knowledge more effectively on behalf of humans. “Semantic
Web” phrase has two expressive words in it. Here, Semantic” refers to computerprocessed data or what the system may do with data. Whereas “Web” conveys the
concept of an interconnected object navigable space with URI mappings to resources.
Information Retrieval (IR), Internet of Things (IOT) and Personal Assistants (PA)
are the three things under the umbrella of Semantic web used to realize the original
vision of it. However, to actualize the todays’ vision Linked Open Data and Semantic
Metadata is evolved as two primary things.
Semantic Web can function effectively if data stored on computers is well structured as well as well-organized. Automatic reasoning is possible with the help of
complete set of inference rules.
2.1 Linked Open Data (LOD)
A strong hybrid of Linked Data and open data is Linked Open Data This LOD makes
use of open sources. According to Tim Berners-Lee’s clearest description, LOD is
Linked Data published under an open license which does not obstruct its free reuse.
Semantic web tries to establish links between the datasets which can be processed
by not only humans but also computers and linked data provides ways to establish
these links. Linked Data is a set of design standards for the exchange of interlinked
machine-readable data over the Internet. When use and distribution of data can be
made free (subject to condition), it is called Open Data. However, open data and
linked data are not equal. It is possible that open data is not linked and linked data is
not open for reuse and distribution. Hence, this new blend of Linked Open Data was
introduced by W3C community [5].