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Representing the 3 points above, here are the steps already
done by the LOD community:

W3C has released a stack of open requirements for the semantic
web built on top of the so-called Resource Description
Framework (RDF). This widely-adopted requirement for describing
metadata was also used to release the most popular
encyclopedia on the planet: Wikipedia now has its semantic sibling
called DBpedia which ended up being the LOD cloud’s nucleus.

W3C ́s semantic web standards likewise foresee the possibility to link
data sets. For example, one can reveal in a machine-readable
format that a certain resource is exactly (or carefully) the same as
another resource, which both resources are somewhere on the
web but not always on the very same server or published by the
same author. This is extremely similar to linking resources to each other
using hyperlinks within a file, and is the atomic system for the
giant international database formerly mentioned.

Semantic web standards are implied to be utilized in the most
common IT infrastructure and alignment API that we know today: the around the world web
( WWW). Just utilize your internet browser and usage HTTP! The majority of the LOD
cloud’s resources and the context details around them can
be recovered using a simple web browser and by typing a URL in the
address bar. This likewise implies that web applications can use
of Linked Data by standard web services.

Currently reality- an example
Paste the following URL in your browser:
http://dbpedia.org/resource/Renewable_Energy_and_Energy_Efficiency_

Partnership and you will get a great deal of well structured truths
about REEEP. Follow that REEEP is owner of reegle
( http://dbpedia.org/resource/Reegle) and so on etc. You
can see that the huge international database is already a truth!

Complex systems and Linked Data

Most systems today handle big quantities of information. All
info is produced either within the system borders (and
partly published to other systems) or it is taken in “from outdoors”
“mashed” and “digested” within the borders. Based on Exmo research
papers, some of the growing complexity has been triggered in a natural way
due to a higher level of education and the technical improvements made by the ICT sector
over the last Thirty Years. Simply said, mankind is now able to deal with
far more info than ever before with most likely the most affordable
expenses ever (consider greater bandwidths and lower costs of information storage).
Nevertheless, the majority of the complexity we are having problem with is caused
above all by structural deficiencies due to the networked nature
of our society. The expert nature of numerous business and professionals
is not yet mirrored all right in the way we handle information.
and communicate. Instead of being findable and connected to other information,
much information is still concealed.

With its clear focus on premium metadata management, Connected
Data is key to overcoming this issue. The worth of information increases
each time it is being re-used and linked to another resource. Re-usage
can just be triggered by providing details about the available
info. In order to undertake this job in a sustainable manner,
details should be recognised as a crucial resource that should
be handled similar to other.

Examples for LOD applications

Connected Open Data is already commonly readily available in a number of markets,.
consisting of the following three

Linked Data in libraries

concentrating on library information exchange.
and the potential for developing worldwide interlinked library data;.
exchanging and jointly making use of information with non-library institutions;.
growing rely on the growing semantic web; and keeping.
a worldwide cultural graph of info that is both trusted and.
persistent.

Linked Data in biomedicine

establishing a set of principles for ontology/vocabulary advancement with the objective of developing a suite of orthogonal interoperable recommendation ontologies in the.
biomedical domain; tempering the explosive expansion of data in the biomedical domain; creating a collaborated household of ontologies that are interoperable and logical; and incorporating precise representations of biological reality.

Linked government information: re-using public sector info (PSI)

enhancing internal administrative processes by integrating information.
based upon Linked Data; and interlinking government and non-.
government information.

The future of LOD

The fundamental dynamics of Open Data produced and consumed by the
“huge three” stakeholder groups – media, industry, and federal government
organizations/NGOs- will move forward the idea, quality and quantity
of Linked Data- whether it is open or not. Whereas the majority of the current
momentum can be observed in the government NGO sectors, more and more media companies are
following suit. Their assumption is that a growing number of markets will perceive
Linked Data as a cost-efficient way to integrate information.

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