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Published 13.01.2015 | Author : admin | Category : Very Irresistible For Men

The introduction of the microprocessor, a single chip with all the circuitry that formerly occupied large cabinets, led to the proliferation of personal computers after 1975. Imagine that a friend told you about the movie "Midnight in Paris" and you wanted to learn more about it, what would you do? The term Linked Data refers to a set of best practices for publishing and interlinking structured data on the Web.
Tim Berners-Lee, the inventor of the Semantic Web proposed the "Five Stars of Open Data" that describe different levels of "openness".
Data use World Wide Web Consortium standards, such as URIs to identify important things and concepts. Linking open environmental data is the main idea on which the MELODIES project is based. The common standard format used for expressing information about resources on the Semantic Web is the Resource Description Framework (RDF).
For the representation of geospatial RDF data that changes over time, the stRDF data model can be used.

In the MELODIES project auxiliary data which offers queriyng functionalities is being used to enrich the data produced by each of the environmental services. Storage of the resulting data into the RDF store Strabon which allows querying geospatial data that changes over time using the stSPARQL query language. For computers generally referred to as PCs, see IBM Personal Computer and IBM PC compatible.
Google it! Imagine now that you wanted to find the cinema playing the movie which has the cheapest tickets or the cinema playing the movie which is closest to you.
By following these practices data from diverse sources can use the same standard format, which allows them to be combined and integrated.
This framework means that datasets can be uniquely identified within a pan-European spatial data infrastructure. The use of Linked Data in MELODIES will allow the collection of multiple data sources that lie in different data portals, query them and interconnect them using semantic web technologies in order to build applications with great environmental value. The RDF data model allows us to exchange information among applications without loss of meaning.

For this, new tools are being developed at the University of Athens that are able to take as input Earth Observation data and other geospatial data and automatically transform them into RDF. This is a new way of handling online data that was not offered by the original Web - which concentrated mainly on the interchange of documents - but which is supported by the newly emerging Semantic Web or "web of data". RDF is accompanied by the SPARQL query language which is used for retrieving or modifying data expressed in the RDF data format.
The datasets subsequently produced will follow the 5-star plan described by Tim Berners-Lee. You can find a tutorial on stSPARQL written by the Department of Informatics and Telecommunications at the University of Athens here.

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