Treatment of text extracted from digital books for search engine indexing

Authors

DOI:

https://doi.org/10.26512/rici.v16.n2.2023.42740

Keywords:

Digital curation, Information retrieval, Text processing, Dissemination of information, Indexing, Digital books

Abstract

This article presents a methodology for treating texts extracted from digital books from Embrapa's 500 Questions 500 Answers Collection to index their content and to allow its access via a search engine. The methodology involves extracting the essential elements of the books, such as images and HTML files; pre-processing them; analyzing and editing them; and building suitable components for their indexing. In addition to a large amount of human analysis, the technologies used are Epub format for digital books, the Sigil editor, scripts for text processing, web representation standards, and Elasticsearch. The results show that this method can provide well-formatted texts for indexing and use in search engines, giving a rich user experience and enabling the construction of new digital solutions. Therefore, such a digital curation is essential for adding value to digital resources and meeting specific user needs.

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Author Biographies

Glauber José Vaz, Embrapa Agricultura Digital, Campinas, SP, Brasil

Glauber José Vaz received his bachelor's degree in Computer Science from the Federal University of Uberlândia in 2000 and his master’s degree from the Universidade Estadual de Campinas (Unicamp) in 2003. From 2003 to 2010, he taught computing courses in three institutions, including at Unicamp. Since 2010, he has worked in research, development, and innovation in computing applied to agriculture, at the Digital Agriculture unit of the Brazilian Agricultural Research Corporation (Embrapa), in Campinas, Brazil. His research interests include information retrieval, data science, and digital agriculture.

Pedro Henrique Rodrigues da Cunha da Veiga, IZagro, Franca, SP, Brasil

Pedro Henrique Rodrigues da Cunha da Veiga has a bachelor's degree in Computer Science from Universidade de Franca (2017) in São Paulo. He is a partner-director of technology at IZagro, agtech focusing on helping small/medium-sized producers to work with good regenerative practices using simple and clear information. He has experience in web application development, acting mainly in back-end technologies for data processing and traffic, using Java (Spring boot Data), Python, and NodeJS.

Rafael Gomes Caldas, IZagro, Franca, SP, Brasil

Rafael Gomes Caldas has a bachelor's degree in Computer Science from the Universidade de Franca (2017) and has been a developer at IZagro since November 2018. He has experience in web application development, mainly with JavaScript, TypeScript, relational and non-relational databases, and cloud computing technologies.

Wyviane Carlos Lima Vidal, Embrapa Agroenergia, Brasilia, DF, Brasil

Wyviane Carlos Lima Vidal has a bachelor's degree in Biological Sciences from the Universidade Federal da Paraíba, obtained in 1997, and a master's degree in Development and Environment from the Universidade Federal da Paraíba, obtained in 2001. She has worked as a researcher at the Brazilian Agricultural Research Corporation (Embrapa) since 2002. She has also worked at Embrapa Tabuleiros Costeiros, Aracaju, SE, from 2002 to 2004; Embrapa Informação Tecnológica, Brasília, DF, as co-editor of the journal Pesquisa Agropecuária Brasileira, from 2005 to 2012; as a book editor for Embrapa, between 2012 and 201; as well as in the Publishing and Production unit of the Communication and Information Management directorate of the General Secretariat of Embrapa, until March 2022. She is currently working at Embrapa Agroenergia, Brasília, DF.

Cristiane Pereira de Assis, Embrapa Sede, Superintendência de Comunicação, Brasília, DF, Brasil

Cristiane Pereira de Assis is Graduated in Agronomy (2002), and has a master's (2004) and doctorate (2008) degree in soils and plant nutrition, all of which were obtained from the Universidade Federal de Viçosa. She has experience in agronomy, with an emphasis on soil management and conservation. As part of the Capes-PNPD national post-doctoral program, she completed a post-doctoral fellowship in the Department of Soil at the Universidade Federal do Ceará from 2008 to 2010, with the project Soil Quality in the Irrigated Jaguaribe-Apodi, Ceará Perimeter. She was a professor of Agronomy at the Universidade Federal do Vale do São Francisco from 2010 to 2011. She is currently a researcher at the Brazilian Agricultural Research Corporation, where she served as a scientific editor of the journal Pesquisa Agropecuária Brasileira from April 2012 to January 2018. Cristiane currently works as an editor of technical-scientific books for Embrapa and is also part of the coordination team for the digital platforms at Embrapa Production Systems and the Embrapa Agency for Technological Information (Ageitec).

Jorge Luiz Correa, Embrapa Agricultura Digital, Campinas, SP, Brasil

Jorge Luiz Correa received his bachelor's and master's degrees in Computer Science from Universidade Estadual Paulista (UNESP) in the field of security of networks and computer systems. He worked for six years as an analyst and researcher at ACME Cybersecurity Research Laboratory at UNESP. He also researched network attack detection at the National Institute of Science and Technology-Critical Embedded Systems (INCT-SEC). He was an IT consultant at the São Paulo State Department of Education. He is currently an infrastructure and security analyst at the Brazilian Agricultural Research Corporation (Embrapa), focusing on high-performance and cloud computing.

Maria Fernanda Moura, Embrapa Agricultura Digital, Campinas, SP, Brasil

Maria Fernanda Moura received her bachelor's degree in Statistics from the Universidade Estadual de Campinas (1987), her master's degree in Electrical Engineering from the Universidade Estadual de Campinas (1992), and her Ph.D. in Computer Sciences from the Universidade de São Paulo (2009). She has worked as a researcher at Embrapa Digital Agriculture since August 1989. She has experience in probability and statistics, with an emphasis on data and text mining, working mainly on data science, text mining, experimental statistics, and scientific software development (Python, R, C++, and Java).

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Published

2023-08-15

How to Cite

Vaz, G. J., Veiga, P. H. R. da C. da, Caldas, R. G., Vidal, W. C. L., Assis, C. P. de, Correa, J. L., & Moura, M. F. (2023). Treatment of text extracted from digital books for search engine indexing. Revista Ibero-Americana De Ciência Da Informação, 16(2), 311–328. https://doi.org/10.26512/rici.v16.n2.2023.42740