A Look at Semantic Web Technology and the Potential Semantic …
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What distinguishes RDF technology from XML is that RDF technology is
designed to represent knowledge in a distributed world, with focus and particular
concern for meaning. In this sense, everything that is mentioned in RDF means
something, either an abstract concept or a fact, whether a reference to something
concrete in the world. What makes RDF well suited to distributed knowledge is that
RDF applications have the ability to merge files placed by different people on the
Internet. Still evaluating that it is easily learning from them new things that no document by itself asserts by associating documents through common vocabulary used,
and then by allowing any document to use any vocabulary. Since standards designed
for RDF describe logical inferences between facts and how to search for facts in
large databases of RDF knowledge. This flexibility is unique to RDF, along with the
ease with which new data can be added when compared to traditional data models
[22, 32, 35].
In summary, the benefits of the RDF standard are over providing a consistent environment for publishing and using web metadata using the XML infrastructure. That
enables applications to be able to act intelligently and automatically on information
published on the Web, as their meanings are more intelligible. As well as to provide
standardized syntax for describing the features and properties of documents on the
Web. Still considering the RDF standard is still evolving, and solutions are still being
developed and studied. So, the description of namespaces is done non-repetitively
and more intelligently within the scope of a document and can further understand
more properties [18, 35].
3.4 Linked Data and Open Data
Linked data within the semantic web environment is a network of data that needs
formatting into standards accessible and manageable by the tools and end-users of
this content to make it “palatable” and “digestible”. As long as it’s data set by itself
does not characterize a semantic network, but rather the relationships between these
data, and this relationship is given this term linked data [46].
As depicted in Fig. 3, Linked Data consists of one of the main pillars of
Semantic Web technology, which links between datasets that are understandable
to both humans and machines. Also called Web of Data, and Linked Data provides
the best practices that make these Possible links [46].
Open data is data that can be freely distributed and employed by anyone (user
and machine) regarding the requirements to assign and share. However, Open Data
is not equivalent to Linked Data, the open data can be made available to everyone
(user and machine) without links to other data, where they can be linked without
being freely available for reuse and distribution. And concerning Linked Data, is a
powerful combination of linked data and open data [47].
The evolution of the Document Web towards a Data Web with technologies that
aggregate semantics to help applications manipulate this information, seeks to reach a
horizon in which there will be a global database. Provided that the data are published
67
What distinguishes RDF technology from XML is that RDF technology is
designed to represent knowledge in a distributed world, with focus and particular
concern for meaning. In this sense, everything that is mentioned in RDF means
something, either an abstract concept or a fact, whether a reference to something
concrete in the world. What makes RDF well suited to distributed knowledge is that
RDF applications have the ability to merge files placed by different people on the
Internet. Still evaluating that it is easily learning from them new things that no document by itself asserts by associating documents through common vocabulary used,
and then by allowing any document to use any vocabulary. Since standards designed
for RDF describe logical inferences between facts and how to search for facts in
large databases of RDF knowledge. This flexibility is unique to RDF, along with the
ease with which new data can be added when compared to traditional data models
[22, 32, 35].
In summary, the benefits of the RDF standard are over providing a consistent environment for publishing and using web metadata using the XML infrastructure. That
enables applications to be able to act intelligently and automatically on information
published on the Web, as their meanings are more intelligible. As well as to provide
standardized syntax for describing the features and properties of documents on the
Web. Still considering the RDF standard is still evolving, and solutions are still being
developed and studied. So, the description of namespaces is done non-repetitively
and more intelligently within the scope of a document and can further understand
more properties [18, 35].
3.4 Linked Data and Open Data
Linked data within the semantic web environment is a network of data that needs
formatting into standards accessible and manageable by the tools and end-users of
this content to make it “palatable” and “digestible”. As long as it’s data set by itself
does not characterize a semantic network, but rather the relationships between these
data, and this relationship is given this term linked data [46].
As depicted in Fig. 3, Linked Data consists of one of the main pillars of
Semantic Web technology, which links between datasets that are understandable
to both humans and machines. Also called Web of Data, and Linked Data provides
the best practices that make these Possible links [46].
Open data is data that can be freely distributed and employed by anyone (user
and machine) regarding the requirements to assign and share. However, Open Data
is not equivalent to Linked Data, the open data can be made available to everyone
(user and machine) without links to other data, where they can be linked without
being freely available for reuse and distribution. And concerning Linked Data, is a
powerful combination of linked data and open data [47].
The evolution of the Document Web towards a Data Web with technologies that
aggregate semantics to help applications manipulate this information, seeks to reach a
horizon in which there will be a global database. Provided that the data are published
