A framework for discovering and classifying ubiquitous services in digital health ecosystems
A digital ecosystem is a widespread type of ubiquitous computing environment comprised of ubiquitous, geographically dispersed, and heterogeneous species, technologies and services. As a subdomain of the digital ecosystems, digital health ecosystems are crucial for the stability and sustainable deve...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
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Academic Press, Inc
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/45725 |
| _version_ | 1848757364878999552 |
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| author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author2 | F. Xhafa |
| author_facet | F. Xhafa Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A digital ecosystem is a widespread type of ubiquitous computing environment comprised of ubiquitous, geographically dispersed, and heterogeneous species, technologies and services. As a subdomain of the digital ecosystems, digital health ecosystems are crucial for the stability and sustainable development of the digital ecosystems. However, since the service information in the digital health ecosystems exhibits the same features as those in the digital ecosystems, it is difficult for a service consumer to precisely and quickly retrieve a service provider for a given health service request. Consequently, it is a matter of urgency that a technology is developed to discover and classify the health service information obtained from the digital health ecosystems. A survey of state-of-the-art semantic service discovery technologies reveals that no significant research effort has been made in this area. Hence, in this paper, we present a framework for discovering and classifying the vast amount of service information present in the digital health ecosystems. The framework incorporates the technology of semantic focused crawler and social classification. A series of experiments are conducted in order to respectively evaluate the framework and the employed mathematical model. |
| first_indexed | 2025-11-14T09:26:56Z |
| format | Journal Article |
| id | curtin-20.500.11937-45725 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:26:56Z |
| publishDate | 2011 |
| publisher | Academic Press, Inc |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-457252023-02-02T07:57:34Z A framework for discovering and classifying ubiquitous services in digital health ecosystems Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth F. Xhafa L. Barolli semantic service classification semantic service discovery digital health ecosystems ontology digital ecosystems semantic focused crawlers A digital ecosystem is a widespread type of ubiquitous computing environment comprised of ubiquitous, geographically dispersed, and heterogeneous species, technologies and services. As a subdomain of the digital ecosystems, digital health ecosystems are crucial for the stability and sustainable development of the digital ecosystems. However, since the service information in the digital health ecosystems exhibits the same features as those in the digital ecosystems, it is difficult for a service consumer to precisely and quickly retrieve a service provider for a given health service request. Consequently, it is a matter of urgency that a technology is developed to discover and classify the health service information obtained from the digital health ecosystems. A survey of state-of-the-art semantic service discovery technologies reveals that no significant research effort has been made in this area. Hence, in this paper, we present a framework for discovering and classifying the vast amount of service information present in the digital health ecosystems. The framework incorporates the technology of semantic focused crawler and social classification. A series of experiments are conducted in order to respectively evaluate the framework and the employed mathematical model. 2011 Journal Article http://hdl.handle.net/20.500.11937/45725 10.1016/j.jcss.2010.02.009 Academic Press, Inc fulltext |
| spellingShingle | semantic service classification semantic service discovery digital health ecosystems ontology digital ecosystems semantic focused crawlers Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth A framework for discovering and classifying ubiquitous services in digital health ecosystems |
| title | A framework for discovering and classifying ubiquitous services in digital health ecosystems |
| title_full | A framework for discovering and classifying ubiquitous services in digital health ecosystems |
| title_fullStr | A framework for discovering and classifying ubiquitous services in digital health ecosystems |
| title_full_unstemmed | A framework for discovering and classifying ubiquitous services in digital health ecosystems |
| title_short | A framework for discovering and classifying ubiquitous services in digital health ecosystems |
| title_sort | framework for discovering and classifying ubiquitous services in digital health ecosystems |
| topic | semantic service classification semantic service discovery digital health ecosystems ontology digital ecosystems semantic focused crawlers |
| url | http://hdl.handle.net/20.500.11937/45725 |