Evidence/Discovery-Based Evolving Ontology (EDBEO)
This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/27414 |
| _version_ | 1848752257230700544 |
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| author | Khoozani, Ehsan Hussain, Omar Dillon, Tharam S. Hadzic, Maja |
| author2 | Tharam Dillon |
| author_facet | Tharam Dillon Khoozani, Ehsan Hussain, Omar Dillon, Tharam S. Hadzic, Maja |
| author_sort | Khoozani, Ehsan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained from various studies. To implement this solution, our envisaged evidence/discovery-based methodology integrates a higher-level ontology (systematic review ontology) into a systematic review agent which employs a Fuzzy Inference System in order to automatically modifyontological relations of a domain ontology based on the evidence received from information resources. The evidence/discovery-based methodology will further use the domain ontology to discover novel connections between distinct literatures, thereby, enrich its conceptualization. |
| first_indexed | 2025-11-14T08:05:45Z |
| format | Conference Paper |
| id | curtin-20.500.11937-27414 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:05:45Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-274142023-01-13T07:56:31Z Evidence/Discovery-Based Evolving Ontology (EDBEO) Khoozani, Ehsan Hussain, Omar Dillon, Tharam S. Hadzic, Maja Tharam Dillon Daniel Rubin William Gallagher Amandeep Sidhu Alexey Tsymbal This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained from various studies. To implement this solution, our envisaged evidence/discovery-based methodology integrates a higher-level ontology (systematic review ontology) into a systematic review agent which employs a Fuzzy Inference System in order to automatically modifyontological relations of a domain ontology based on the evidence received from information resources. The evidence/discovery-based methodology will further use the domain ontology to discover novel connections between distinct literatures, thereby, enrich its conceptualization. 2010 Conference Paper http://hdl.handle.net/20.500.11937/27414 IEEE fulltext |
| spellingShingle | Khoozani, Ehsan Hussain, Omar Dillon, Tharam S. Hadzic, Maja Evidence/Discovery-Based Evolving Ontology (EDBEO) |
| title | Evidence/Discovery-Based Evolving Ontology (EDBEO) |
| title_full | Evidence/Discovery-Based Evolving Ontology (EDBEO) |
| title_fullStr | Evidence/Discovery-Based Evolving Ontology (EDBEO) |
| title_full_unstemmed | Evidence/Discovery-Based Evolving Ontology (EDBEO) |
| title_short | Evidence/Discovery-Based Evolving Ontology (EDBEO) |
| title_sort | evidence/discovery-based evolving ontology (edbeo) |
| url | http://hdl.handle.net/20.500.11937/27414 |