An extension to the data-driven ontology evaluation

Hlomani Hlomani, Deborah Stacey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Within the semantic web domain, ontologies are an important artifact. Such words as 'pivotal' have been associated with the role they play on the semantic web. The role they play on the semantic web as well as their potential for reuse and the proliferation of ontologies in existence have heightened the need for their evaluation. They have been seen as approximate representations of the domain, thus their evaluation concerns itself with the degree of their approximation. This research deemed domain knowledge on which data-driven ontology evaluation is based to be dynamic. This is contrary to the underlying assumptions of current research in data-driven ontology evaluation. The paper hence proposes a multidimensional view to data-driven ontology evaluation that accounts for bias in the valuation of ontologies. The direct contribution to the body of knowledge is a theoretical framework that exposes these biases.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014
EditorsElisa Bertino, Bhavani Thuraisingham, Ling Liu, James Joshi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages845-849
Number of pages5
ISBN (Electronic)9781479958801
DOIs
Publication statusPublished - Feb 27 2014
Event15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014 - San Francisco, United States
Duration: Aug 13 2014Aug 15 2014

Other

Other15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014
CountryUnited States
CitySan Francisco
Period8/13/148/15/14

Fingerprint

Ontology
Semantic Web

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Hlomani, H., & Stacey, D. (2014). An extension to the data-driven ontology evaluation. In E. Bertino, B. Thuraisingham, L. Liu, & J. Joshi (Eds.), Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014 (pp. 845-849). [7051978] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2014.7051978
Hlomani, Hlomani ; Stacey, Deborah. / An extension to the data-driven ontology evaluation. Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014. editor / Elisa Bertino ; Bhavani Thuraisingham ; Ling Liu ; James Joshi. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 845-849
@inproceedings{9f48e2d5c66e4fcbb193404759f5d277,
title = "An extension to the data-driven ontology evaluation",
abstract = "Within the semantic web domain, ontologies are an important artifact. Such words as 'pivotal' have been associated with the role they play on the semantic web. The role they play on the semantic web as well as their potential for reuse and the proliferation of ontologies in existence have heightened the need for their evaluation. They have been seen as approximate representations of the domain, thus their evaluation concerns itself with the degree of their approximation. This research deemed domain knowledge on which data-driven ontology evaluation is based to be dynamic. This is contrary to the underlying assumptions of current research in data-driven ontology evaluation. The paper hence proposes a multidimensional view to data-driven ontology evaluation that accounts for bias in the valuation of ontologies. The direct contribution to the body of knowledge is a theoretical framework that exposes these biases.",
author = "Hlomani Hlomani and Deborah Stacey",
year = "2014",
month = "2",
day = "27",
doi = "10.1109/IRI.2014.7051978",
language = "English",
pages = "845--849",
editor = "Elisa Bertino and Bhavani Thuraisingham and Ling Liu and James Joshi",
booktitle = "Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

Hlomani, H & Stacey, D 2014, An extension to the data-driven ontology evaluation. in E Bertino, B Thuraisingham, L Liu & J Joshi (eds), Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014., 7051978, Institute of Electrical and Electronics Engineers Inc., pp. 845-849, 15th IEEE International Conference on Information Reuse and Integration, IEEE IRI 2014, San Francisco, United States, 8/13/14. https://doi.org/10.1109/IRI.2014.7051978

An extension to the data-driven ontology evaluation. / Hlomani, Hlomani; Stacey, Deborah.

Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014. ed. / Elisa Bertino; Bhavani Thuraisingham; Ling Liu; James Joshi. Institute of Electrical and Electronics Engineers Inc., 2014. p. 845-849 7051978.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - An extension to the data-driven ontology evaluation

AU - Hlomani, Hlomani

AU - Stacey, Deborah

PY - 2014/2/27

Y1 - 2014/2/27

N2 - Within the semantic web domain, ontologies are an important artifact. Such words as 'pivotal' have been associated with the role they play on the semantic web. The role they play on the semantic web as well as their potential for reuse and the proliferation of ontologies in existence have heightened the need for their evaluation. They have been seen as approximate representations of the domain, thus their evaluation concerns itself with the degree of their approximation. This research deemed domain knowledge on which data-driven ontology evaluation is based to be dynamic. This is contrary to the underlying assumptions of current research in data-driven ontology evaluation. The paper hence proposes a multidimensional view to data-driven ontology evaluation that accounts for bias in the valuation of ontologies. The direct contribution to the body of knowledge is a theoretical framework that exposes these biases.

AB - Within the semantic web domain, ontologies are an important artifact. Such words as 'pivotal' have been associated with the role they play on the semantic web. The role they play on the semantic web as well as their potential for reuse and the proliferation of ontologies in existence have heightened the need for their evaluation. They have been seen as approximate representations of the domain, thus their evaluation concerns itself with the degree of their approximation. This research deemed domain knowledge on which data-driven ontology evaluation is based to be dynamic. This is contrary to the underlying assumptions of current research in data-driven ontology evaluation. The paper hence proposes a multidimensional view to data-driven ontology evaluation that accounts for bias in the valuation of ontologies. The direct contribution to the body of knowledge is a theoretical framework that exposes these biases.

UR - http://www.scopus.com/inward/record.url?scp=84988293901&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84988293901&partnerID=8YFLogxK

U2 - 10.1109/IRI.2014.7051978

DO - 10.1109/IRI.2014.7051978

M3 - Conference contribution

AN - SCOPUS:84988293901

SP - 845

EP - 849

BT - Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014

A2 - Bertino, Elisa

A2 - Thuraisingham, Bhavani

A2 - Liu, Ling

A2 - Joshi, James

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Hlomani H, Stacey D. An extension to the data-driven ontology evaluation. In Bertino E, Thuraisingham B, Liu L, Joshi J, editors, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 845-849. 7051978 https://doi.org/10.1109/IRI.2014.7051978