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Prior to running the experiments, we generated a set of resource description XML documents containing all the possible resources description to be used during the evaluation process.
Prior to run the experiments, we have generated a set of resource description XML documents containing all the possible resources description to be used during the evaluation process.
Furthermore, PostgreSQL stores an XML document in its text representation, which results in fast information retrieval and adds flexibility in terms of resources' description by eliminating the need to change tables' schema whenever additional information is added to the document.
This was achieved by removing the broker node and modifying the PMN behavior so that the PIP publishes it resources' description information to a local repository/broker (instead of the centralized BN).
This is due to the fact that, in the centralized architecture, the intermediary broker node performs an initial selection operation, in order to return the most relevant resources (satisfying functional requirements and constraints on dynamic attributes), which results in a more refined resources list and thus a reduction in the size of the resources' description document returned to the VIP.
In Section 3, our proposed approach for virtual resources' description and discovery is discussed in detail, including the business and information models on which it relies, the architectural framework design, the architectural components and interfaces, as well as a REST-based secure content distribution scenario illustrating the system's operation.
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Once the resources' descriptions are created, a 200 OK message (step 2) is sent back to the PIP.
Furthermore, knowledge from robust text mining methods has been incorporated to map descriptions into suitable domain ontologies in order to ensure that the biomedical resources descriptions are domain oriented and enhance the accuracy of services discovery.
These technologies include Microformats, HTML 5 Microdata and the Resource Description Framework in Attributes (RDFa).
AACR2 has been succeeded by Resource Description and Access (RDA), which was released in June 2010.
RDA builds on the strengths of AACR2 with some new features that make it more useful for resource description as a cataloging code for the modern libraries operating in a digital environment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com