Desenvolvimento de uma camada semântica para um protótipo de repositório de dados de pesquisas de análise por ativação neutrônica

thesis
Autor

Carvalho, Glauber Mauch de

Data de Publicação

5 de março de 2020

Resumo

One of the pillars of Science is the possibility of replicating the results of scientific research by independent researchers, making possible the validation of methods, results and their conclusions. For this to be possible in the current scenario, where the production of scientific data grows fast (Big Data), systematic methods of data storing, curating and delivering need to be implemented. Faced with the avalanche of available data, the entire scientific process is impacted, enabling the emergence of a new scientific paradigm called e-Science. That new paradigm, called ‘The Fourth Paradigm of Scientific Exploration’, distinguishes data-intensive science from traditional computational science. In this work, an ontology was developed for the domain of data in the area of Analysis by Neutron Activation and a prototype of research data repository. The integration of the semantic layer with the PostgreSQL SGBD was emulated through Protegè and its Ontop tool, making a direct connection to the relational database. In this emulation, semantic queries were performed in SPARQL. The results presented demonstrate the gains from that integration and point to several advantages of having a semantic layer in a data repository, including, but not limited to, a greater possibility of data reuse since these data can be better understood because of all description that the ontology provides. Also, as a result of these work, the methodology developed for the creation of the ontology is presented in details, allowing its application in other correlated domains in IPEN-CNEN/SP as well as in other institutions. The repository prototype was developed using the open source web development framework Django along with Python programming language, in a way that provided a lot of flexibility and agility to the process.

Citação

BibTeX
@online{glauber_mauch_de2020,
  author = {Glauber Mauch de , Carvalho},
  title = {Desenvolvimento de uma camada semântica para um protótipo de
    repositório de dados de pesquisas de análise por ativação
    neutrônica},
  date = {2020-03-05},
  doi = {10.11606/D.85.2020.tde-17122020-112928},
  langid = {pt-BR},
  abstract = {One of the pillars of Science is the possibility of
    replicating the results of scientific research by independent
    researchers, making possible the validation of methods, results and
    their conclusions. For this to be possible in the current scenario,
    where the production of scientific data grows fast (Big Data),
    systematic methods of data storing, curating and delivering need to
    be implemented. Faced with the avalanche of available data, the
    entire scientific process is impacted, enabling the emergence of a
    new scientific paradigm called e-Science. That new paradigm, called
    “The Fourth Paradigm of Scientific Exploration”, distinguishes
    data-intensive science from traditional computational science. In
    this work, an ontology was developed for the domain of data in the
    area of Analysis by Neutron Activation and a prototype of research
    data repository. The integration of the semantic layer with the
    PostgreSQL SGBD was emulated through Protegè and its Ontop tool,
    making a direct connection to the relational database. In this
    emulation, semantic queries were performed in SPARQL. The results
    presented demonstrate the gains from that integration and point to
    several advantages of having a semantic layer in a data repository,
    including, but not limited to, a greater possibility of data reuse
    since these data can be better understood because of all description
    that the ontology provides. Also, as a result of these work, the
    methodology developed for the creation of the ontology is presented
    in details, allowing its application in other correlated domains in
    IPEN-CNEN/SP as well as in other institutions. The repository
    prototype was developed using the open source web development
    framework Django along with Python programming language, in a way
    that provided a lot of flexibility and agility to the process.}
}
Por favor, cite este trabalho como:
Glauber Mauch de, Carvalho. 2020. “Desenvolvimento de uma camada semântica para um protótipo de repositório de dados de pesquisas de análise por ativação neutrônica.” March 5. https://doi.org/10.11606/D.85.2020.tde-17122020-112928.