GLAUBER MAUCH DE CARVALHO
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Artigo IPEN-doc 26163 Development of a semantic layer for a data repository prototype for neutron activation analysis domain data2019 - CARVALHO, GLAUBER M. de; SEMMLER, RENATO; MENEZES, MARIO O. deIn order to provide greater transparency for scienti c research and the results achieved, a great e ort is ongoing to make available scienti c data repositories, which allow for di erent researchers to validate, reproduce and reuse third party scienti c data. With the always increasing use of technology in all kinds of scienti c facilities, a growing amount of data is collected even from simple experiments. This scenario presents a new paradigm: the understanding of third party data easily found on data repositories. Consequently, being able to do useful searches on these data repositories poses a new challenge for traditional search engines. In this work, the approach taken to help solve these problems was to propose a semantic layer for scienti c data repository. By using ontologies, with appropriated integration of traditional search mechanisms, it will be easier for users to nd related data that could be used in their work, improving the overall scienti c yield. In order to achieve this goal, a ontology was developed, using the Prot eg e software, for the Neutron Activation Analysis (NAA) data domain. This ontology was validated by experts from NAA Laboratory of the Reactor Research Center (CERPq) at the Nuclear and Energy Research Institute (IPEN-CNEN/SP). A prototype of a semantic data repository is, thus, being developed using the Django web development framework. RDFlib, a software library written in Python is being used to allow the integration of semantic operations, based on the NAA ontology, with the relational database layer provided by Django.