Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis

Filipi Miranda Soares; Ivan  Bergier; Maria Carolina  Coradini; Ana Paula  Lüdtke Ferreira; Milena  Ambrosio Telles; Benildes Coura Moreira dos Santos Maculan; Maria de Cléofas Faggion  Alencar; Victor Paulo  Marques Simão; Bibiana  Teixeira de Almeida; Debora Pignatari Drucker; Marcia  dos Santos Machado Vieira; Sérgio Manuel  Serra da Cruz

doi:10.1007/978-3-031-47112-4_28

Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis

Filipi Miranda Soares^*
, Ivan Bergier
, Maria Carolina Coradini
, Ana Paula Lüdtke Ferreira
, Milena Ambrosio Telles
, Benildes Coura Moreira dos Santos Maculan
, Maria de Cléofas Faggion Alencar
, Victor Paulo Marques Simão
, Bibiana Teixeira de Almeida
, Debora Pignatari Drucker
, Marcia dos Santos Machado Vieira
, Sérgio Manuel Serra da Cruz

^*Corresponding author for this work

Semantics, Cybersecurity & Services

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This 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.

Original language	English
Title of host publication	Advances in Conceptual Modeling
Subtitle of host publication	ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Lisbon, Portugal, November 6–9, 2023, Proceedings
Editors	Tiago Prince Sales, Giancarlo Guizzardi, João Araújo, José Borbinha
Place of Publication	Cham
Publisher	Springer
Pages	299-311
Number of pages	13
Edition	1
ISBN (Electronic)	978-3-031-47112-4
ISBN (Print)	978-3-031-47111-7
DOIs	https://doi.org/10.1007/978-3-031-47112-4_28
Publication status	Published - 26 Oct 2023

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	14319
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Corpus Linguistics
KOS
Semantic artifacts
Ontologies
Thesaurus
Metadata
Knowledge graph
n/a OA procedure

Access to Document

10.1007/978-3-031-47112-4_28

A Semantic Interoperability Framework for Data-Centric Applications in Agriculture
Miranda Soares, F., 14 Oct 2025, Enschede: University of Twente. 280 p.
Research output: Thesis › PhD Thesis - Research UT, graduation UT

Open Access
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Miranda Soares, F., Bergier, I., Coradini, M. C., Lüdtke Ferreira, A. P., Ambrosio Telles, M., Moreira dos Santos Maculan, B. C., Alencar, M. D. C. F., Marques Simão, V. P., Teixeira de Almeida, B., Pignatari Drucker, D., dos Santos Machado Vieira, M., & Serra da Cruz , S. M. (2023). Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis. In T. P. Sales, G. Guizzardi, J. Araújo, & J. Borbinha (Eds.), Advances in Conceptual Modeling: ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Lisbon, Portugal, November 6–9, 2023, Proceedings (1 ed., pp. 299-311). (Lecture Notes in Computer Science; Vol. 14319). Springer. https://doi.org/10.1007/978-3-031-47112-4_28

Miranda Soares, Filipi ; Bergier, Ivan ; Coradini, Maria Carolina et al. / Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis. Advances in Conceptual Modeling: ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Lisbon, Portugal, November 6–9, 2023, Proceedings. editor / Tiago Prince Sales ; Giancarlo Guizzardi ; João Araújo ; José Borbinha. 1. ed. Cham : Springer, 2023. pp. 299-311 (Lecture Notes in Computer Science).

@inproceedings{22ba077c234e463fb6fc8e2881857ce5,

title = "Unveiling Knowledge Organization Systems{\textquoteright} Artifacts for Digital Agriculture with Lexical Network Analysis",

abstract = "This 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.",

keywords = "Corpus Linguistics, KOS, Semantic artifacts, Ontologies, Thesaurus, Metadata, Knowledge graph, n/a OA procedure",

author = "\{Miranda Soares\}, Filipi and Ivan Bergier and Coradini, \{Maria Carolina\} and \{L{\"u}dtke Ferreira\}, \{Ana Paula\} and \{Ambrosio Telles\}, Milena and \{Moreira dos Santos Maculan\}, \{Benildes Coura\} and Alencar, \{Maria de Cl{\'e}ofas Faggion\} and \{Marques Sim{\~a}o\}, \{Victor Paulo\} and \{Teixeira de Almeida\}, Bibiana and \{Pignatari Drucker\}, Debora and \{dos Santos Machado Vieira\}, Marcia and \{Serra da Cruz\}, \{S{\'e}rgio Manuel\}",

note = "Funding Information: This study was financed in part by the Coordena{\c c}{\~a}o de Aperfei{\c c}oamento de Pessoal de N{\'i}vel Superior-Brasil (CAPES)-Finance Code 001. FMS would like to thank S{\~a}o Paulo Research Foundation (FAPESP) for the research grants (process numbers 21/15125-0 and 22/08385-8). SMSC would like to thank Brazilian National Council for Scientific and Technological Development (CNPq) for the research grants (process numbers 400044/2023-4 and 306115/2021-2 ). MSMV thanks CNPq and FAPERJ (Funda{\c c}{\~a}o Carlos Chagas Filho de Amparo {\`a} Pesquisa do Estado do Rio de Janeiro/Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro) for the research support (409043/2021-4, 312423/2022-5, E-26/201.209/2022 (273339)). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

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series = "Lecture Notes in Computer Science",

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editor = "Sales, \{Tiago Prince\} and Giancarlo Guizzardi and Jo{\~a}o Ara{\'u}jo and Jos{\'e} Borbinha",

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Miranda Soares, F, Bergier, I, Coradini, MC, Lüdtke Ferreira, AP, Ambrosio Telles, M, Moreira dos Santos Maculan, BC, Alencar, MDCF, Marques Simão, VP, Teixeira de Almeida, B, Pignatari Drucker, D, dos Santos Machado Vieira, M & Serra da Cruz , SM 2023, Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis. in TP Sales, G Guizzardi, J Araújo & J Borbinha (eds), Advances in Conceptual Modeling: ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Lisbon, Portugal, November 6–9, 2023, Proceedings. 1 edn, Lecture Notes in Computer Science, vol. 14319, Springer, Cham, pp. 299-311. https://doi.org/10.1007/978-3-031-47112-4_28

Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis. / Miranda Soares, Filipi; Bergier, Ivan ; Coradini, Maria Carolina et al.
Advances in Conceptual Modeling: ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Lisbon, Portugal, November 6–9, 2023, Proceedings. ed. / Tiago Prince Sales; Giancarlo Guizzardi; João Araújo; José Borbinha. 1. ed. Cham: Springer, 2023. p. 299-311 (Lecture Notes in Computer Science; Vol. 14319).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Miranda Soares, Filipi

AU - Bergier, Ivan

AU - Coradini, Maria Carolina

AU - Lüdtke Ferreira, Ana Paula

AU - Ambrosio Telles, Milena

AU - Moreira dos Santos Maculan, Benildes Coura

AU - Alencar, Maria de Cléofas Faggion

AU - Marques Simão, Victor Paulo

AU - Teixeira de Almeida, Bibiana

AU - Pignatari Drucker, Debora

AU - dos Santos Machado Vieira, Marcia

AU - Serra da Cruz , Sérgio Manuel

N1 - Funding Information: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Finance Code 001. FMS would like to thank São Paulo Research Foundation (FAPESP) for the research grants (process numbers 21/15125-0 and 22/08385-8). SMSC would like to thank Brazilian National Council for Scientific and Technological Development (CNPq) for the research grants (process numbers 400044/2023-4 and 306115/2021-2 ). MSMV thanks CNPq and FAPERJ (Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro/Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro) for the research support (409043/2021-4, 312423/2022-5, E-26/201.209/2022 (273339)). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/10/26

Y1 - 2023/10/26

N2 - This 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.

AB - This 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.

KW - Corpus Linguistics

KW - KOS

KW - Semantic artifacts

KW - Ontologies

KW - Thesaurus

KW - Metadata

KW - Knowledge graph

KW - n/a OA procedure

U2 - 10.1007/978-3-031-47112-4_28

DO - 10.1007/978-3-031-47112-4_28

M3 - Conference contribution

SN - 978-3-031-47111-7

T3 - Lecture Notes in Computer Science

SP - 299

EP - 311

BT - Advances in Conceptual Modeling

A2 - Sales, Tiago Prince

A2 - Guizzardi, Giancarlo

A2 - Araújo, João

A2 - Borbinha, José

PB - Springer

CY - Cham

ER -

Miranda Soares F, Bergier I, Coradini MC, Lüdtke Ferreira AP, Ambrosio Telles M, Moreira dos Santos Maculan BC et al. Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis. In Sales TP, Guizzardi G, Araújo J, Borbinha J, editors, Advances in Conceptual Modeling: ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Lisbon, Portugal, November 6–9, 2023, Proceedings. 1 ed. Cham: Springer. 2023. p. 299-311. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-47112-4_28

Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis

Abstract

Publication series

Keywords

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Research output

A Semantic Interoperability Framework for Data-Centric Applications in Agriculture

Cite this