Engineering trustworthy ontologies: case study of protein ontology
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 m...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE Computer Society
2006
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/12033 |
| _version_ | 1848747966537400320 |
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| author | Hussain, Farookh Khadeer Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth |
| author2 | Lee, D.J. |
| author_facet | Lee, D.J. Hussain, Farookh Khadeer Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Hussain, Farookh Khadeer |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:57:33Z |
| format | Conference Paper |
| id | curtin-20.500.11937-12033 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:57:33Z |
| publishDate | 2006 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-120332022-10-20T07:13:31Z Engineering trustworthy ontologies: case study of protein ontology Hussain, Farookh Khadeer Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth Lee, D.J. Nutter, B. Antani, S. Mitra, S. Archibald, J. protein ontology ontologies trust trustworthy biomedical ontologies trustworthiness biomedical ontology 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. 2006 Conference Paper http://hdl.handle.net/20.500.11937/12033 10.1109/CBMS.2006.83 IEEE Computer Society fulltext |
| spellingShingle | protein ontology ontologies trust trustworthy biomedical ontologies trustworthiness biomedical ontology Hussain, Farookh Khadeer Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth Engineering trustworthy ontologies: case study of protein ontology |
| title | Engineering trustworthy ontologies: case study of protein ontology |
| title_full | Engineering trustworthy ontologies: case study of protein ontology |
| title_fullStr | Engineering trustworthy ontologies: case study of protein ontology |
| title_full_unstemmed | Engineering trustworthy ontologies: case study of protein ontology |
| title_short | Engineering trustworthy ontologies: case study of protein ontology |
| title_sort | engineering trustworthy ontologies: case study of protein ontology |
| topic | protein ontology ontologies trust trustworthy biomedical ontologies trustworthiness biomedical ontology |
| url | http://hdl.handle.net/20.500.11937/12033 |