A context-aware semantic similarity model for ontology environments
While many researchers have contributed to the field of semantic similarity models so far, we find that most of the models are designed for the semantic network environment. When applying the semantic similarity model within the semantic-rich ontology environment, two issues are observed: (1) most o...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
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John Wiley & Sons Ltd
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/32892 |
| _version_ | 1848753791063556096 |
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| author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author2 | Osvaldo Gervasi, C. J. Kenneth Tan, Marina Gavrilova, David Taniar |
| author_facet | Osvaldo Gervasi, C. J. Kenneth Tan, Marina Gavrilova, David Taniar Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | While many researchers have contributed to the field of semantic similarity models so far, we find that most of the models are designed for the semantic network environment. When applying the semantic similarity model within the semantic-rich ontology environment, two issues are observed: (1) most of the models ignore the context of ontology concepts and (2) most of the models ignore the context of relations. Therefore, in this paper, we present a solution for the two issues, including a novel ontology conversion process and a context-aware semantic similarity model, by considering the factors of both the context of concepts and relations, and the ontology structure. Furthermore, in order to evaluate this model, we compare its performance with that of several existing models' performance in a large-scale knowledge base, and the evaluation result preliminarily proves the technical advantage of our model in ontology environments. Conclusions and future works are described in the final section. |
| first_indexed | 2025-11-14T08:30:07Z |
| format | Journal Article |
| id | curtin-20.500.11937-32892 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:30:07Z |
| publishDate | 2011 |
| publisher | John Wiley & Sons Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-328922017-09-13T15:53:16Z A context-aware semantic similarity model for ontology environments Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth Osvaldo Gervasi, C. J. Kenneth Tan, Marina Gavrilova, David Taniar OWL semantic network ontology semantic similarity model While many researchers have contributed to the field of semantic similarity models so far, we find that most of the models are designed for the semantic network environment. When applying the semantic similarity model within the semantic-rich ontology environment, two issues are observed: (1) most of the models ignore the context of ontology concepts and (2) most of the models ignore the context of relations. Therefore, in this paper, we present a solution for the two issues, including a novel ontology conversion process and a context-aware semantic similarity model, by considering the factors of both the context of concepts and relations, and the ontology structure. Furthermore, in order to evaluate this model, we compare its performance with that of several existing models' performance in a large-scale knowledge base, and the evaluation result preliminarily proves the technical advantage of our model in ontology environments. Conclusions and future works are described in the final section. 2011 Journal Article http://hdl.handle.net/20.500.11937/32892 10.1002/cpe.1652 John Wiley & Sons Ltd restricted |
| spellingShingle | OWL semantic network ontology semantic similarity model Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth A context-aware semantic similarity model for ontology environments |
| title | A context-aware semantic similarity model for ontology environments |
| title_full | A context-aware semantic similarity model for ontology environments |
| title_fullStr | A context-aware semantic similarity model for ontology environments |
| title_full_unstemmed | A context-aware semantic similarity model for ontology environments |
| title_short | A context-aware semantic similarity model for ontology environments |
| title_sort | context-aware semantic similarity model for ontology environments |
| topic | OWL semantic network ontology semantic similarity model |
| url | http://hdl.handle.net/20.500.11937/32892 |