Modelos de representação semântica na era do Big Data
DOI:
https://doi.org/10.36311/1981-1640.2018.v12n3.04.p34Keywords:
Sistemas de Organização do Conhecimento, RDF, SKOS, OWL, Big DataAbstract
The term Big Data refers to the large volume of data produced and made available in digital environments. Throughout the last years new models of representation have been proposed to improve the forms of representation of information in digital environments. The present work is linked to an ongoing research project, funded by FAPESP and CNPq agencies, and aims to analyze the principles underlying Big Data and its relationship with the new Resource Description Framework (RDF) representation patterns; Simple Knowledge Organization System (SKOS) and Onto-logy Web Language (OWL). The research has a theoretical character and a qualitative approach, as it seeks to present characteristics aimed at describing, understanding and explaining the relationships between Big Data and the new models of representation. From the theoretical survey carried out, it was verified that the representation models analyzed contribute to the interconnection of large volumes of data without losing the context in which they originated, favoring a better understanding of Big Data and the new paradigms of representation in digital environments.
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