Produção Nacional
Revisado por pares
Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis
2023; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-031-47112-4_28
ISSN1611-3349
AutoresFilipi Miranda Soares, Ivan Bergier, M. C. Coradini, Ana Paula Lüdtke Ferreira, Milena Ambrosio Telles, Benildes Coura Moreira dos Santos Maculan, Maria de Cleófas Faggion Alencar, Victor Paulo Marques Simão, Bibiana Teixeira de Almeida, Débora Pignatari Drucker, Marcia dos Santos Machado Vieira, Sérgio Manuel Serra da Cruz,
Tópico(s)Service-Oriented Architecture and Web Services
ResumoThis article presents a bibliometric and terminological study of a corpus composed of abstracts and titles of 278 articles retrieved by a review protocol planned for surveying initiatives on building artifacts for modeling knowledge related to agricultural production systems. The original corpus comprised a 53,379-word linguistic extract filtered to 111 interconnected major terminologies by combining AntConc and VOSViewer tools. The reduced data were imported into the Gephi tool for analysis of lexical network graphs. Emergent clusters and their central terms underscore the thematic areas that prominently shape the landscape of agricultural Knowledge Organization Systems (KOS) and highlight the interplay between technological advancements, semantic enrichment, and domain-specific challenges. Our analysis of term occurrences and clusters contributes to a broader understanding of these concepts, inferring their significance, roles, and interconnections within the agricultural landscape. It also sheds light on the roles played by KOS in Digital Agriculture.
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