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J. R. Prasad et al.
LOD represents structured organization of data in the form of graph which can be
interlinked across the servers. Following lines states, the four principles of Linked
Data outlined by Tim Berners-Lee in 2006 [6]:
Use URIs as a name to identify things.
Use HTTP URIs in order to look up the things.
Use open standards (RDF, SPARQL etc.) to offer useful information when a thing
is referenced with URI.
Use HTTP URI based names to refer other things on web.
LOD empowers the human users and machines to get to information crosswise
over various servers and translate its semantics all the more effectively. Therefore,
the Semantic Web rises above from a space containing linked documents to a space
including linked information. This, thus, creates the powerful network of machineprocessable interconnected information.
Linked Open Data includes:
Realistic data about specific entities and concepts
Ontologies—semantic schemata defining:
Classes of objects (e.g., Vehicle, Department, Document);
Relationship types (e.g., a child of, contained in);
Attributes (e.g., the DoB of an employee, location of department).
One striking example of a LOD set is DBpedia—a publicly supported network
exertion to concentrate organized data from Wikipedia and make it accessible on the
Web.
Today, large number of datasets are distributed as LOD crosswise over various
sectors, for example, encyclopedia, reference book, geographic information, government information, logical database and articles, entertainment, voyaging, and so on.
In Life Sciences alone, there are in excess of 100 logical databases distributed as
LOD.
2.2 Semantic Metadata
Semantic metadata expresses the “meaning” of data. By using Semantic metadata
search engines can facilitate their work, as they get more information to search the
related contents. Semantic metadata makes everything simpler to organize and associate. Also, when everything is interlinked, components are all the more effectively
remixed, set up together, repurposed and eventually understands. Semantic Metadata
adds up to semantic tags to normal Web pages so that their meaning is described with
more significance.
For instance, the home page of the National Board of Accreditation (NBA) can be
semantically marked with references to a number of suitable conceptions and things,
e.g., technical programmes, Washington Accord.
Such metadata makes it a lot simpler to discover Web pages’ dependent on
semantic criteria. It settles any potential equivocalness and guarantees that when we
J. R. Prasad et al.
LOD represents structured organization of data in the form of graph which can be
interlinked across the servers. Following lines states, the four principles of Linked
Data outlined by Tim Berners-Lee in 2006 [6]:
Use URIs as a name to identify things.
Use HTTP URIs in order to look up the things.
Use open standards (RDF, SPARQL etc.) to offer useful information when a thing
is referenced with URI.
Use HTTP URI based names to refer other things on web.
LOD empowers the human users and machines to get to information crosswise
over various servers and translate its semantics all the more effectively. Therefore,
the Semantic Web rises above from a space containing linked documents to a space
including linked information. This, thus, creates the powerful network of machineprocessable interconnected information.
Linked Open Data includes:
Realistic data about specific entities and concepts
Ontologies—semantic schemata defining:
Classes of objects (e.g., Vehicle, Department, Document);
Relationship types (e.g., a child of, contained in);
Attributes (e.g., the DoB of an employee, location of department).
One striking example of a LOD set is DBpedia—a publicly supported network
exertion to concentrate organized data from Wikipedia and make it accessible on the
Web.
Today, large number of datasets are distributed as LOD crosswise over various
sectors, for example, encyclopedia, reference book, geographic information, government information, logical database and articles, entertainment, voyaging, and so on.
In Life Sciences alone, there are in excess of 100 logical databases distributed as
LOD.
2.2 Semantic Metadata
Semantic metadata expresses the “meaning” of data. By using Semantic metadata
search engines can facilitate their work, as they get more information to search the
related contents. Semantic metadata makes everything simpler to organize and associate. Also, when everything is interlinked, components are all the more effectively
remixed, set up together, repurposed and eventually understands. Semantic Metadata
adds up to semantic tags to normal Web pages so that their meaning is described with
more significance.
For instance, the home page of the National Board of Accreditation (NBA) can be
semantically marked with references to a number of suitable conceptions and things,
e.g., technical programmes, Washington Accord.
Such metadata makes it a lot simpler to discover Web pages’ dependent on
semantic criteria. It settles any potential equivocalness and guarantees that when we