Automated Bibliometrics

Automated Bibliometrics: A case study on the use of ornamental sludge

Approximately 2M Ton / year of Sludge from Ornamental Stone Processing (SOSP) is generated in the state of Espírito Santo, Brasil. This industrial waste is sent to landfills and controlled deposits, constituting an environmental liability of companies and puts the environment at risk when it is not properly managed. The conversion of SOSP from industrial waste into classes of co-products of companies benefiting from ornamental stones may reduce this threat. These co-products (Post-processing of Ornamental Rocks – PPOR) will become inputs to be incorporated into the composition of mineral aggregates for the manufacture of ceramic materials. This conversion will require environmental licensing of industrial activities for incorporating PPOR classes in the composition of the proposed ceramic material aggregates. To this end, a proposed draft State Technical Standard for the licensing of industrial PPOR handling and storage processes will be presented to the Environmental State Institute of Espírito Santo (IEMA).

The technological innovation in this solution consists of defining the requirements for environmental licensing of PPOR management processes, of its classes as co-products of the ornamental stone processing industry, of the manufacturing processes in which these co-products come as raw materials and classes of ceramic materials that can be produced by the civil construction materials industry, allowing the industrial application of a vast base of technical and scientific knowledge that already exists. This knowledge is published in congresses and technical-scientific journals, constituting the state of the art, and in technical standards and patent bases, configuring in the state of the art.

Bibliometry is a fundamental part of scientific and technological innovations. However, the amount of information and sources is so great that it has become increasingly difficult to analyze a reasonable amount of data. For this reason, interest in research that promotes automated bibliometry by artificial intelligence algorithms and deals with large volumes of data has also increased. Advanced bibliometric analysis assesses the influence of international scientific work in a reliable, transparent and objective way.

This project proposes to apply state of the art in artificial intelligence to address the existing knowledge bases, with a view to extracting technological information capable of supporting the requirements of a technical standard aimed at licensing the industrial processes of handling and storage of PPOR.

This project is being funded by FAPES – Fundação de Amparo à Pesquisa do Espírito Santo.