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dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorSidhu, Amandeep
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.contributor.editorLee, D.J.
dc.contributor.editorNutter, B.
dc.contributor.editorAntani, S.
dc.contributor.editorMitra, S.
dc.contributor.editorArchibald, J.
dc.identifier.citationHussain, 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.

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.

dc.publisherIEEE Computer Society
dc.subjectprotein ontology
dc.subjectbiomedical ontologies
dc.titleEngineering trustworthy ontologies: case study of protein ontology
dc.typeConference Paper
dcterms.source.titleProceedings of the Nineteenth IEEE International Symposium on Computer-Based Medical Systems
dcterms.source.seriesProceedings of the Nineteenth IEEE International Symposium on Computer-Based Medical Systems
dcterms.source.conference19th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
dcterms.source.conference-start-date22 Jun 2006
dcterms.source.conferencelocationSalt Lake City, Utah, USA

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curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyCentre for Extended Enterprises and Business Intelligence
curtin.facultySchool of Information Systems

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