Open Data

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Research centers, government agencies, universities, media, libraries, museums, publishing houses and other organizations are driving strategies to improve access to information created, stored and maintained by them. Although this open world stage disclosure is very positive, but lot of work remains in research and engineering to do. Organizations that are identified as Open because they publish content in web pages or PDFs should consider that the release digitized documents is only the first step towards a real opening. A lot of information available on the Web is not in machine format ("machine-readable" format) but unstructured documents (such as DOC files, HTML, PDF files) that pose major challenges in automatically process its contents .

Data in PDF files are silos or "walled ghettos data" that diminish the possibilities of exchange, re-use, integration and interoperability of information. Thus, the data that are contained within a PDF files or HTML pages are difficult to process, impractical when reuse and are not very sustainable and accessible on a global stage discovery and reuse of open data.

Initiatives Open Data and the Semantic Web can solve many of the problems posed by unstructured documents scanned when you want to share and reuse information.

In this website the results of the study and application of Linked Data technology for online access to data and Linked Open University as one of the major initiatives in this region is presented.

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Linked Data

The Semantic Web is a Web of Data — of dates and titles and part numbers and chemical properties and any other data one might conceive of. The collection of Semantic Web technologies (RDF, OWL, SKOS, SPARQL, etc.) provides an environment where application can query that data, draw inferences using vocabularies, etc.
     
However, to make the Web of Data a reality, it is important to have the huge amount of data on the Web available in a standard format, reachable and manageable by Semantic Web tools. Furthermore, not only does the Semantic Web need access to data, but relationships among data should be made available, too, to create a Web of Data (as opposed to a sheer collection of datasets). This collection of interrelated datasets on the Web can also be referred to as Linked Data.

To achieve and create Linked Data, technologies should be available for a common format (RDF), to make either conversion or on-the-fly access to existing databases (relational, XML, HTML, etc). It is also important to be able to setup query endpoints to access that data more conveniently. W3C provides a palette of technologies (RDF, GRDDL, POWDER, RDFa, the upcoming R2RML, RIF, SPARQL) to get access to the data.                         

Linked Data lies at the heart of what Semantic Web is all about: large scale integration of, and reasoning on, data on the Web. Almost all applications listed in, say collection of Semantic Web Case Studies and Use Cases are essentially based on the accessibility of, and integration of Linked Data at various level of complexities. 

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