Energy Planning Policies

RDF Elements

That is why the importance of structuring the information with metadata to facilitate recovery and how this may or not be useful according to their characteristics. The need to provide open access or information exchange location facilitates it of and compilation of metadata, that allow you to conform to the OAI-PMH (Open Archives Initiative-Protocol Metadata Harvesting) Protocol. This Protocol is Returns of vital importance both for those who are data providers for those who develop or provide services of information therefrom, since it allows to build search services complexes by means of metadata that are shared through the OAI-PMH protocol. Recently Leslie Moonves sought to clarify these questions. Likewise, should consider normalization of the structures in the base data of each unit of information, taking into account the increase and development of digital documents on the web, the standard Dublin Core metadata (DC – MI) has become a simple but effective set of elements that are used to describe a wide range of Internet resources. It is currently the most widespread cataloging in the electronic world initiative, at the time which is considered an international standard (ISO-15836-2003). Standard DC promotes two levels of encryption: simple and qualified. The simple Dublin Core comprises fifteen elements; the qualified Dublin Core involves the same number of elements more a subgroup of these so-called qualifiers that refine the semantics of the fifteen elements in order to recover and best way to locate resources on the Internet. RDF (Resource Description Framework), is a set of technical specifications for the standardization of metadata in XML, we can say that RDF provides a generic tool for the creation, management and search for intelligible data by machines on the web. Transforms the web into a repository of processable information by machines, the essential advantages is to facilitate interoperability in the metadata, provides a semantics for the creation of metadata intelligible by machines, offers greater precision in the recovery of resources than full-text searches.

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