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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. and Nutter, B. and Antani, S. and Mitra, S. and Archibald, J.
dc.date.accessioned2017-01-30T11:28:15Z
dc.date.available2017-01-30T11:28:15Z
dc.date.created2009-03-05T00:54:21Z
dc.date.issued2006
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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/12033
dc.identifier.doi10.1109/CBMS.2006.83
dc.description.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.

dc.publisherIEEE Computer Society
dc.subjectprotein ontology
dc.subjectontologies
dc.subjecttrust
dc.subjecttrustworthy
dc.subjectbiomedical ontologies
dc.subjecttrustworthiness
dc.subjectbiomedical
dc.subjectontology
dc.titleEngineering trustworthy ontologies: case study of protein ontology
dc.typeConference Paper
dcterms.source.startPage617
dcterms.source.endPage622
dcterms.source.issn10637125
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
dcterms.source.placeUSA
curtin.note

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.

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


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