Reputation ontology for reputation systems
The growing development of web-based reputation systems in the 21st century will have a powerful social and economic impact on both business entities and individual customers, because it makes transparent quality assessment on products and services to achieve customer assurance in the distributed we...
| Main Authors: | , , |
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| Format: | Conference Paper |
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Springer-Verlag
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/28458 |
| _version_ | 1848752542743265280 |
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| author | Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. |
| author_facet | Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. |
| author_sort | Chang, Elizabeth |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The growing development of web-based reputation systems in the 21st century will have a powerful social and economic impact on both business entities and individual customers, because it makes transparent quality assessment on products and services to achieve customer assurance in the distributed web-based Reputation Systems. The web-based reputation systems will be the foundation for web intelligence in the future. Trust and Reputation help capture business intelligence through establishing customer trust relationships, learning consumer behaviour, capturing market reaction on products and services, disseminating customer feedback, buyers' opinions and end-user recommendations. It also reveals dishonest services, unfair trading, biased assessment, discriminatory actions, fraudulent behaviours, and un-true advertising. The continuing development of these technologies will help in the improvement of professional business behaviour, sales, reputation of sellers, providers, products and services. Given the importance of reputation in this paper, we propose ontology for reputation. In the business world we can consider the reputation of a product or the reputation of a service or the reputation of an agent. In this paper we propose ontology for these entities that can help us unravel the components and conceptualise the components of reputation of each of the entities. |
| first_indexed | 2025-11-14T08:10:17Z |
| format | Conference Paper |
| id | curtin-20.500.11937-28458 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:10:17Z |
| publishDate | 2006 |
| publisher | Springer-Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-284582018-10-03T07:26:57Z Reputation ontology for reputation systems Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. business intelligence customer feedback trust relationships ontologies trust ontology agent fraudulent behaviour web intelligence trusting agent reputation systems reputation trusted agent The growing development of web-based reputation systems in the 21st century will have a powerful social and economic impact on both business entities and individual customers, because it makes transparent quality assessment on products and services to achieve customer assurance in the distributed web-based Reputation Systems. The web-based reputation systems will be the foundation for web intelligence in the future. Trust and Reputation help capture business intelligence through establishing customer trust relationships, learning consumer behaviour, capturing market reaction on products and services, disseminating customer feedback, buyers' opinions and end-user recommendations. It also reveals dishonest services, unfair trading, biased assessment, discriminatory actions, fraudulent behaviours, and un-true advertising. The continuing development of these technologies will help in the improvement of professional business behaviour, sales, reputation of sellers, providers, products and services. Given the importance of reputation in this paper, we propose ontology for reputation. In the business world we can consider the reputation of a product or the reputation of a service or the reputation of an agent. In this paper we propose ontology for these entities that can help us unravel the components and conceptualise the components of reputation of each of the entities. 2006 Conference Paper http://hdl.handle.net/20.500.11937/28458 10.1007/11575863_117 Springer-Verlag restricted |
| spellingShingle | business intelligence customer feedback trust relationships ontologies trust ontology agent fraudulent behaviour web intelligence trusting agent reputation systems reputation trusted agent Chang, Elizabeth Hussain, Farookh Dillon, Tharam S. Reputation ontology for reputation systems |
| title | Reputation ontology for reputation systems |
| title_full | Reputation ontology for reputation systems |
| title_fullStr | Reputation ontology for reputation systems |
| title_full_unstemmed | Reputation ontology for reputation systems |
| title_short | Reputation ontology for reputation systems |
| title_sort | reputation ontology for reputation systems |
| topic | business intelligence customer feedback trust relationships ontologies trust ontology agent fraudulent behaviour web intelligence trusting agent reputation systems reputation trusted agent |
| url | http://hdl.handle.net/20.500.11937/28458 |