Search Engine for E-Books Containing Questions and Answers About Agriculture

This article presents a search engine application programming interface (API) for e-books structured in questions and answers about agriculture and related topics. It can answer questions made in natural language or with keywords. Its methodology includes the treatment of e-books, parsing with different analyzers, indexing standard files, and exploring search templates using Elasticsearch and the BM25 algorithm. It also involves providing the search engine API through an API platform. All API resources are presented in detail, along with a user interface that uses them for a specific technical assistance and rural extension application. The dataset with treated text extracted from the agricultural books considered in the present work is freely accessible, and the API is available to partners. Based on qualified information, this digital solution is relevant to disseminating technical information, especially to small farmers and extension workers, and contributes to increasing knowledge, productivity, and sustainability in agriculture.

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Publication Details

Journal
International Journal of Agricultural and Environmental Information Systems
Published
2025-05-07
DOI
https://doi.org/10.4018/ijaeis.376171
Primary Topic
ICT in Developing Communities
Type
article
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article

Search Engine for E-Books Containing Questions and Answers About Agriculture

Glauber José Vaz
International Journal of Agricultural and Environmental Information Systems
ICT in Developing Communities
article

Search Engine for E-Books Containing Questions and Answers About Agriculture

Glauber José Vaz
article en

Abstract

This article presents a search engine application programming interface (API) for e-books structured in questions and answers about agriculture and related topics. It can answer questions made in natural language or with keywords. Its methodology includes the treatment of e-books, parsing with different analyzers, indexing standard files, and exploring search templates using Elasticsearch and the BM25 algorithm. It also involves providing the search engine API through an API platform. All API resources are presented in detail, along with a user interface that uses them for a specific technical assistance and rural extension application. The dataset with treated text extracted from the agricultural books considered in the present work is freely accessible, and the API is available to partners. Based on qualified information, this digital solution is relevant to disseminating technical information, especially to small farmers and extension workers, and contributes to increasing knowledge, productivity, and sustainability in agriculture.

International Journal of Agricultural and Environmental Information SystemsVol. 16(1)
Brazilian Agricultural Research Corporation (BR)
Openalex Percentile: Top 87%
ICT in Developing Communities
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