Ontology quality evaluation methodology

R. Shyama I. Wilson; Jeevani S. Goonetillake; Athula Ginige; Walisadeera Anusha Indika

doi:10.1007/978-3-031-10522-7_35

Ontology quality evaluation methodology

R. Shyama I. Wilson
, Jeevani S. Goonetillake
, Athula Ginige
, Walisadeera Anusha Indika

School of Computer, Data & Mathematical Sciences

Uva Wellassa University
University of Colombo
University of Ruhuna

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

8 Citations (Scopus)

Abstract

Lack of methodologies for ontology quality evaluation causes a challenge in producing good quality ontologies. Thus, we developed an iterative quality methodology to address this gap by analyzing the existing quality theories defined in ontology engineering, as well as, the theories in software engineering. Accordingly, this paper presents the developed methodology including how the other ontology quality theories get associated with it. Moreover, a use case in the agriculture domain has been demonstrated in order to provide an understanding of how the methodology can be applied in a real context. In the future, many experiments are expected to be carried out to fine-tune the methodology and to illustrate its usefulness.

Original language	English
Title of host publication	Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I
Editors	Osvaldo Gervasi, Beniamino Murgante, Eligius M. T. Hendrix, David Taniar, Bernady O. Apduhan
Place of Publication	Switzerland
Publisher	Springer
Pages	509-528
Number of pages	20
ISBN (Electronic)	9783031105227
ISBN (Print)	9783031105210
DOIs	https://doi.org/10.1007/978-3-031-10522-7_35
Publication status	Published - 2022
Event	ICCSA (Conference) - Malaga, Spain Duration: 4 Jul 2022 → 7 Jul 2022 Conference number: 22nd

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13375 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	ICCSA (Conference)
Country/Territory	Spain
City	Malaga
Period	4/07/22 → 7/07/22

Keywords

Agriculture
Ontology
Ontology quality
Quality evaluation

Access to Document

10.1007/978-3-031-10522-7_35

Cite this

Wilson, R. S. I., Goonetillake, J. S., Ginige, A., & Indika, W. A. (2022). Ontology quality evaluation methodology. In O. Gervasi, B. Murgante, E. M. T. Hendrix, D. Taniar, & B. O. Apduhan (Eds.), Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I (pp. 509-528). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13375 LNCS). Springer. https://doi.org/10.1007/978-3-031-10522-7_35

Wilson, R. Shyama I. ; Goonetillake, Jeevani S. ; Ginige, Athula et al. / Ontology quality evaluation methodology. Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I. editor / Osvaldo Gervasi ; Beniamino Murgante ; Eligius M. T. Hendrix ; David Taniar ; Bernady O. Apduhan. Switzerland : Springer, 2022. pp. 509-528 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Lack of methodologies for ontology quality evaluation causes a challenge in producing good quality ontologies. Thus, we developed an iterative quality methodology to address this gap by analyzing the existing quality theories defined in ontology engineering, as well as, the theories in software engineering. Accordingly, this paper presents the developed methodology including how the other ontology quality theories get associated with it. Moreover, a use case in the agriculture domain has been demonstrated in order to provide an understanding of how the methodology can be applied in a real context. In the future, many experiments are expected to be carried out to fine-tune the methodology and to illustrate its usefulness.",

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author = "Wilson, \{R. Shyama I.\} and Goonetillake, \{Jeevani S.\} and Athula Ginige and Indika, \{Walisadeera Anusha\}",

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doi = "10.1007/978-3-031-10522-7\_35",

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isbn = "9783031105210",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I",

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Wilson, RSI, Goonetillake, JS, Ginige, A & Indika, WA 2022, Ontology quality evaluation methodology. in O Gervasi, B Murgante, EMT Hendrix, D Taniar & BO Apduhan (eds), Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13375 LNCS, Springer, Switzerland, pp. 509-528, ICCSA (Conference), Malaga, Spain, 4/07/22. https://doi.org/10.1007/978-3-031-10522-7_35

Ontology quality evaluation methodology. / Wilson, R. Shyama I.; Goonetillake, Jeevani S.; Ginige, Athula et al.
Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I. ed. / Osvaldo Gervasi; Beniamino Murgante; Eligius M. T. Hendrix; David Taniar; Bernady O. Apduhan. Switzerland: Springer, 2022. p. 509-528 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13375 LNCS).

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

TY - CHAP

T1 - Ontology quality evaluation methodology

AU - Wilson, R. Shyama I.

AU - Goonetillake, Jeevani S.

AU - Ginige, Athula

AU - Indika, Walisadeera Anusha

N1 - Conference code: 22nd

PY - 2022

Y1 - 2022

N2 - Lack of methodologies for ontology quality evaluation causes a challenge in producing good quality ontologies. Thus, we developed an iterative quality methodology to address this gap by analyzing the existing quality theories defined in ontology engineering, as well as, the theories in software engineering. Accordingly, this paper presents the developed methodology including how the other ontology quality theories get associated with it. Moreover, a use case in the agriculture domain has been demonstrated in order to provide an understanding of how the methodology can be applied in a real context. In the future, many experiments are expected to be carried out to fine-tune the methodology and to illustrate its usefulness.

AB - Lack of methodologies for ontology quality evaluation causes a challenge in producing good quality ontologies. Thus, we developed an iterative quality methodology to address this gap by analyzing the existing quality theories defined in ontology engineering, as well as, the theories in software engineering. Accordingly, this paper presents the developed methodology including how the other ontology quality theories get associated with it. Moreover, a use case in the agriculture domain has been demonstrated in order to provide an understanding of how the methodology can be applied in a real context. In the future, many experiments are expected to be carried out to fine-tune the methodology and to illustrate its usefulness.

KW - Agriculture

KW - Ontology

KW - Ontology quality

KW - Quality evaluation

UR - https://www.scopus.com/pages/publications/85135084816

UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1007/978-3-031-10522-7_35

U2 - 10.1007/978-3-031-10522-7_35

DO - 10.1007/978-3-031-10522-7_35

M3 - Chapter

AN - SCOPUS:85135084816

SN - 9783031105210

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 509

EP - 528

BT - Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Hendrix, Eligius M. T.

A2 - Taniar, David

A2 - Apduhan, Bernady O.

PB - Springer

CY - Switzerland

T2 - ICCSA (Conference)

Y2 - 4 July 2022 through 7 July 2022

ER -

Wilson RSI, Goonetillake JS, Ginige A, Indika WA. Ontology quality evaluation methodology. In Gervasi O, Murgante B, Hendrix EMT, Taniar D, Apduhan BO, editors, Computational Science and Its Applications: ICCSA 2022: 22nd International Conference, Malaga, Spain, July 4-7, 2022, Proceedings, Part I. Switzerland: Springer. 2022. p. 509-528. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-10522-7_35

Ontology quality evaluation methodology

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