Semi-automatic extraction and validation of concepts in ontology learning from texts in Spanish

Gómez-Suta, Manuela del Pilar; Echeverry-Correa, Julián D.; Soto-Mejía, José A.

doi:10.1145/3405962.3405977

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…Gomez Suta et al (20) Colombian Armed Conflict Spanish Domain Related Online Articles TF-IDF, TF-Entropy Table 1 summarizes existing approaches for building domain ontologies using text extraction methods. It was evidence that the researchers have worked on various domains with a reasonable amount of textual content.…”

Section: Englishmentioning

confidence: 99%

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Identifying Terms to Represent Concepts of a Work Process Ontology

Osman,

Noah,

Saad

2024

IJST

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Objectives: To identify ontology concepts from text documents for the construction of work process ontology. Methods: This study proposes a methodology to identify terms representing a work process ontology concept from a document. The methodology encompasses several key steps: document collecting, text pre-processing, term weighting and analysis, terms mapping, and domain expert relevance judgments. A comparison between the results of three different term weighting schemes, namely the Term Frequency (TF), Term Frequency-Inverse Document Frequency (TFIDF), and Mutual Information (MI) is made with the ontology concept that the domain expert has judged. Findings: The approaches adopted in this study have managed to extract ontological concepts from the targeted domain knowledge source. The findings of the comparison analysis suggest that the TFIDF term weighting scheme exhibits better results compared to the TF and MI weighting schemes. Novelty: A work process ontology is a structured knowledge describing daily operations in the government sector. However, there has been little to no effort in building the work process ontology. This study presents an integrated approach for identifying ontology concepts from documents within the domain of the work process. To the utmost extent of our understanding, this research initiative is the initial attempt to introduce a structured methodology for the semi-automatic extraction and evaluation of concepts and relationships within this domain. The findings can be utilised as a foundation for developing an ontology in the specific field. Keywords: Ontology, Work process, Text extraction, Natural language processing, Term weighting

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Section: Englishmentioning

confidence: 99%

“…M. Gomez Suta et al (20) suggested a semi-automated approach for converting Spanish texts into ontology structures involving identifying terms, concepts, and their relationships. This process also includes the participation of human experts in validating the identified terms.…”

Section: Introductionmentioning

confidence: 99%

Identifying Terms to Represent Concepts of a Work Process Ontology

Osman,

Noah,

Saad

2024

IJST

View full text Add to dashboard Cite

show abstract

“…En (Gómez-Suta et al, 2020) proponen validar entidades ontológicas a través de la medida topic coherence y una evaluación basada en la tarea de clusterización semántica de los documentos (Ali & Melton, 2018), para esto los autores establecen estos elementos ontológicos mediante algoritmos de detección de comunidades que parten de la matriz de coocurrencia. Los algoritmos de detección de comunidades agrupan nodos (términos) que comparten propiedades comunes o poseen roles similares dentro del grafo (Fortunato, 2010).…”

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