A hybrid concept similarity measure model for ontology environment
In this paper, we present a hybrid concept similarity measure model for the ontology environment. Whilst to date many similar technologies have been developed for semantic networks, few of them can be directly applied to the semantic-rich ontology environment. Before the measure model is adopted, an...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/5012 |
| _version_ | 1848744676105912320 |
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| author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author2 | Robert Meersman |
| author_facet | Robert Meersman Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we present a hybrid concept similarity measure model for the ontology environment. Whilst to date many similar technologies have been developed for semantic networks, few of them can be directly applied to the semantic-rich ontology environment. Before the measure model is adopted, an ontology is required to be converted into a lightweight ontology space, and within it all the ontology concepts need to be transformed into the pseudo concepts. By means of this model, ontology concept similarities are measured respectively based on the content of pseudo-concepts and the structure of the lightweight ontology space. Afterwards, the two aspects of concept similarity are leveraged as the eventual product. In addition, an experiment is conducted to evaluate the measure model based on a small ontology. Conclusions are drawn and future works are planned in the final section. |
| first_indexed | 2025-11-14T06:05:15Z |
| format | Book Chapter |
| id | curtin-20.500.11937-5012 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:05:15Z |
| publishDate | 2009 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-50122022-12-09T05:23:40Z A hybrid concept similarity measure model for ontology environment Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth Robert Meersman Pilar Herrero Tharam Dillon semantic similarity models ontology latent semantic indexing concept similarity measure In this paper, we present a hybrid concept similarity measure model for the ontology environment. Whilst to date many similar technologies have been developed for semantic networks, few of them can be directly applied to the semantic-rich ontology environment. Before the measure model is adopted, an ontology is required to be converted into a lightweight ontology space, and within it all the ontology concepts need to be transformed into the pseudo concepts. By means of this model, ontology concept similarities are measured respectively based on the content of pseudo-concepts and the structure of the lightweight ontology space. Afterwards, the two aspects of concept similarity are leveraged as the eventual product. In addition, an experiment is conducted to evaluate the measure model based on a small ontology. Conclusions are drawn and future works are planned in the final section. 2009 Book Chapter http://hdl.handle.net/20.500.11937/5012 10.1007/978-3-642-05290-3_103 Springer restricted |
| spellingShingle | semantic similarity models ontology latent semantic indexing concept similarity measure Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth A hybrid concept similarity measure model for ontology environment |
| title | A hybrid concept similarity measure model for ontology environment |
| title_full | A hybrid concept similarity measure model for ontology environment |
| title_fullStr | A hybrid concept similarity measure model for ontology environment |
| title_full_unstemmed | A hybrid concept similarity measure model for ontology environment |
| title_short | A hybrid concept similarity measure model for ontology environment |
| title_sort | hybrid concept similarity measure model for ontology environment |
| topic | semantic similarity models ontology latent semantic indexing concept similarity measure |
| url | http://hdl.handle.net/20.500.11937/5012 |