Discovering plain-text-described services based on ontology learning
In this paper, we present an approach to efficiently discover domain-specific services that are described by plain text over the Internet. Plain-text-described service advertisements account for the vast majority of service advertisements over the Internet, but current research rarely focuses on thi...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
Springer Verlag
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/47897 |
| _version_ | 1848757960569782272 |
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| author | Dong, Hai Hussain, F. Bouguettaya, A. |
| author_facet | Dong, Hai Hussain, F. Bouguettaya, A. |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we present an approach to efficiently discover domain-specific services that are described by plain text over the Internet. Plain-text-described service advertisements account for the vast majority of service advertisements over the Internet, but current research rarely focuses on this area. To address this issue, we design a domain-ontology-based approach for automatic plain-text-described service discovery. This approach incorporates a plain-text-described service ontology for standard service description, a plaintext- described service discovery framework for domain-relevant service discovery and ontology learning, and a machine-learning-based model for ontologybased service functionality annotation. The experimental results show that this approach is able to efficiently discover more relevant plain-text-described services than other approaches. |
| first_indexed | 2025-11-14T09:36:24Z |
| format | Conference Paper |
| id | curtin-20.500.11937-47897 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:36:24Z |
| publishDate | 2014 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-478972017-01-30T15:36:19Z Discovering plain-text-described services based on ontology learning Dong, Hai Hussain, F. Bouguettaya, A. In this paper, we present an approach to efficiently discover domain-specific services that are described by plain text over the Internet. Plain-text-described service advertisements account for the vast majority of service advertisements over the Internet, but current research rarely focuses on this area. To address this issue, we design a domain-ontology-based approach for automatic plain-text-described service discovery. This approach incorporates a plain-text-described service ontology for standard service description, a plaintext- described service discovery framework for domain-relevant service discovery and ontology learning, and a machine-learning-based model for ontologybased service functionality annotation. The experimental results show that this approach is able to efficiently discover more relevant plain-text-described services than other approaches. 2014 Conference Paper http://hdl.handle.net/20.500.11937/47897 Springer Verlag restricted |
| spellingShingle | Dong, Hai Hussain, F. Bouguettaya, A. Discovering plain-text-described services based on ontology learning |
| title | Discovering plain-text-described services based on ontology learning |
| title_full | Discovering plain-text-described services based on ontology learning |
| title_fullStr | Discovering plain-text-described services based on ontology learning |
| title_full_unstemmed | Discovering plain-text-described services based on ontology learning |
| title_short | Discovering plain-text-described services based on ontology learning |
| title_sort | discovering plain-text-described services based on ontology learning |
| url | http://hdl.handle.net/20.500.11937/47897 |