An ontology-based webpage classification approach for the knowledge grid environment
With the rapid growth of the amount of information available in the Web, webpage classification technologies arewidely employed by many search engines in order to formulate user queries and make users? search tasks easier. Knowledge Grid is a new form of Web environment, in which a Resource Space Mo...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/14222 |
| _version_ | 1848748565149515776 |
|---|---|
| author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author2 | Tharam Dillon |
| author_facet | Tharam Dillon Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | With the rapid growth of the amount of information available in the Web, webpage classification technologies arewidely employed by many search engines in order to formulate user queries and make users? search tasks easier. Knowledge Grid is a new form of Web environment, in which a Resource Space Model is employed in order to classify available semantic documents within the Web environment. However, it is well known that the semantic documents are proportionally small in relation to the whole Web documents, and the Resource SpaceModel cannot process these Web documents without semantic supports. In order to solve the above issue, in this paper, we present a novel ontology-based webpage classification method for the Knowledge Grid environment, which utilizes generated metadata from webpages as the intermedium to classify the webpages by ontology concepts. We design a conceptual model of a Webpage Classification Agent and build the prototype in a chosen domain. A series of experiments have been conducted using the prototype in order to evaluate the conceptual model. Conclusions about the evaluation are drawn in the final section. |
| first_indexed | 2025-11-14T07:07:04Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14222 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:04Z |
| publishDate | 2009 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-142222022-12-09T05:23:42Z An ontology-based webpage classification approach for the knowledge grid environment Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth Tharam Dillon Geoffrey Fox Hai Zhuge With the rapid growth of the amount of information available in the Web, webpage classification technologies arewidely employed by many search engines in order to formulate user queries and make users? search tasks easier. Knowledge Grid is a new form of Web environment, in which a Resource Space Model is employed in order to classify available semantic documents within the Web environment. However, it is well known that the semantic documents are proportionally small in relation to the whole Web documents, and the Resource SpaceModel cannot process these Web documents without semantic supports. In order to solve the above issue, in this paper, we present a novel ontology-based webpage classification method for the Knowledge Grid environment, which utilizes generated metadata from webpages as the intermedium to classify the webpages by ontology concepts. We design a conceptual model of a Webpage Classification Agent and build the prototype in a chosen domain. A series of experiments have been conducted using the prototype in order to evaluate the conceptual model. Conclusions about the evaluation are drawn in the final section. 2009 Conference Paper http://hdl.handle.net/20.500.11937/14222 10.1109/SKG.2009.69 IEEE Computer Society fulltext |
| spellingShingle | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth An ontology-based webpage classification approach for the knowledge grid environment |
| title | An ontology-based webpage classification approach for the knowledge grid environment |
| title_full | An ontology-based webpage classification approach for the knowledge grid environment |
| title_fullStr | An ontology-based webpage classification approach for the knowledge grid environment |
| title_full_unstemmed | An ontology-based webpage classification approach for the knowledge grid environment |
| title_short | An ontology-based webpage classification approach for the knowledge grid environment |
| title_sort | ontology-based webpage classification approach for the knowledge grid environment |
| url | http://hdl.handle.net/20.500.11937/14222 |