Engineering trustworthy ontologies: case study of protein ontology

Hussain, Farookh Khadeer; Sidhu, Amandeep; Dillon, Tharam S.; Chang, Elizabeth

doi:10.1109/CBMS.2006.83

116501_Engineering%20trustworthy%20PID%20116501.pdf (170.7Kb)

Access Status

Open access

Authors

Hussain, Farookh Khadeer

Sidhu, Amandeep

Dillon, Tharam S.

Chang, Elizabeth

Date

2006

Type

Conference Paper

Metadata

Show full item record

Citation

Hussain, Farookh Khadeer and Sidhu, Amandeep and Dillon, Tharam and Chang, Elizabeth. 2006. Engineering trustworthy ontologies: Case study of protein ontology, in Lee, D.J. and Nutter, B. and Antani, S. and Mitra, S. and Archibald, J. (ed), 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 22 2006, pp. 617-622. Salt Lake City, Utah: IEEE Computer Society.

Source Title

Proceedings of the Nineteenth IEEE International Symposium on Computer-Based Medical Systems

Source Conference

19th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

DOI

10.1109/CBMS.2006.83

ISSN

10637125

Faculty

Curtin Business School

Centre for Extended Enterprises and Business Intelligence

School of Information Systems

Remarks

Copyright © 2006 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/12033

Collection

Curtin Research Publications

Abstract

Biomedical Ontologies are huge. It is not possible for any one person to manage and engineer a complete ontology. They would need the help of Research Assistants and other people to develop and maintain the ontology. In the process of developing and maintaining the ontology theResearch Assistants may enter incorrect data, resulting in low quality of the ontology. In this paper we will propose a conceptual framework to solve these ontology management and ontology development issues. There can be N assistants entering data into the ontology. All the data entered initially is stored in an intermediate ontology. The administrator of the ontology has a set of rules, which makes a checklist that checks and validates the data in intermediate ontology for correctness according to the ontology schema. We use the Case Study of Protein Ontology for this proposed approach to develop interfaces for assistants and administrators. The proposed approach can easily be extended to other biomedical ontologies just by tweaking the administrator rule set according to the ontology.