Cognitive ergonomics of teaching ontologies

Gavrilova, Tatiana; Gorovoy, Vladimir; Bolotnikova, Ekaterina

doi:10.1145/1962300.1962356

Cited by 3 publications

(17 citation statements)

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“…The hierarchy or taxonomy layer focuses on the properties related to the taxonomic structure (i.e., is-a relationship) of ontologies [22]. A number of measures have been defined related to the taxonomy layer [42,48,50,54,116]. These measures are often useful to observe the extent to which the concepts in an ontology are spread out in relation to the root concept of that ontology [42,116] and to track the evolution of ontologies easily [142].…”

Section: Tanglednessmentioning

confidence: 99%

A conceptual model for ontology quality assessment

Wilson

Goonetillake

Indika

et al. 2023

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With the continuous advancement of methods, tools, and techniques in ontology development, ontologies have emerged in various fields such as machine learning, robotics, biomedical informatics, agricultural informatics, crowdsourcing, database management, and the Internet of Things. Nevertheless, the nonexistence of a universally agreed methodology for specifying and evaluating the quality of an ontology hinders the success of ontology-based systems in such fields as the quality of each component is required for the overall quality of a system and in turn impacts the usability in use. Moreover, a number of anomalies in definitions of ontology quality concepts are visible, and in addition to that, the ontology quality assessment is limited only to a certain set of characteristics in practice even though some other significant characteristics have to be considered for the specified use-case. Thus, in this research, a comprehensive analysis was performed to uncover the existing contributions specifically on ontology quality models, characteristics, and the associated measures of these characteristics. Consequently, the characteristics identified through this review were classified with the associated aspects of the ontology evaluation space. Furthermore, the formalized definitions for each quality characteristic are provided through this study from the ontological perspective based on the accepted theories and standards. Additionally, a thorough analysis of the extent to which the existing works have covered the quality evaluation aspects is presented and the areas further to be investigated are outlined.

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Section: Tanglednessmentioning

confidence: 99%

A conceptual model for ontology quality assessment

Wilson

Goonetillake

Indika

et al. 2023

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“…Метод рассмотрения онтографа заключается в рассмотрении основных показателей, связанных со структурой разработанной онтологии [14].…”

Section: методы анализа и выбор метода оценки онтологии социокиберфизunclassified

Development and evaluation of cyber-physical-social system ontology based on the analysis of typical scenarios for mobile robots interaction

Kalyazina¹,

Kashevnik²

2019

Science Bulletin of the NSTU

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“…Evaluating of the proposed ontology, the Ontology cognitive ergonomics evaluation based on graph topology (Gavrilova et al, 2010a(Gavrilova et al, , 2010bOntoeval) is implemented to analyze the structure of the ontology. The aim of this evaluation method is to assess ontology balance and its perception by humans.…”

Section: Ontology Evaluationmentioning

confidence: 99%

“…Yngve-Miller shows percentage of concepts node and number of links which is hard or easy to perceive by humans. The greater percentage value, the ontology is easy to perceive by humans (Gavrilova et al, 2010a(Gavrilova et al, , 2010b.…”

Section: Ontology Evaluationmentioning

confidence: 99%

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An Application of Structural Equation Modeling for Developing Good Teaching Characteristics Ontology

Phiakoksong¹,

Niwattanakul²,

Angskun

2013

Informatics in Education

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Ontology is a knowledge representation technique which aims to make knowledge explicit by defining the core concepts and their relationships. The Structural Equation Modeling (SEM) is a statistical technique which aims to explore the core factors from empirical data and estimates the relationship between these factors. This article presents an application of Structural Equation Modeling to construct a lightweight ontology of good teaching characteristics. The principal factors from SEM are used as concepts of the proposed ontology. The OAsys approach is used as an ontology development process. The proposed ontology consists of three levels: super-class level consists of 6 components of teaching; the first-level sub-class consists of 12 latent factors from SEM; and the second-level sub-class consists of 66 classes of questionnaire items. The experimental result indicated that the proposed ontology which constructs from the core factors of SEM is well-structured, free from a node with multiple parent classes. There is no cycles loop between sub-classes. Having well-balanced of ratio between parent classes and sub-classes. The structure of this proposed ontology corresponds to the principle of conceptual balance.

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Cognitive ergonomics of teaching ontologies

Abstract: Motivation -Evaluation of the visual design and cognitive ergonomics of teaching ontologies.

Cited by 3 publications

References 10 publications

A conceptual model for ontology quality assessment

A conceptual model for ontology quality assessment

Development and evaluation of cyber-physical-social system ontology based on the analysis of typical scenarios for mobile robots interaction

An Application of Structural Equation Modeling for Developing Good Teaching Characteristics Ontology

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