State of the art in negotiation ontologies for enhancing business intelligence
Negotiation is defined as two or more agents making agreement on the common interests, which provides an efficient approach for companies to gain business intelligence from suppliers and customers. Current negotiation research focuses on automatically stimulating negotiation behaviors among agents....
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE) Computer Society
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/40905 |
| _version_ | 1848755996190572544 |
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| author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author2 | A. Abraham |
| author_facet | A. Abraham Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Negotiation is defined as two or more agents making agreement on the common interests, which provides an efficient approach for companies to gain business intelligence from suppliers and customers. Current negotiation research focuses on automatically stimulating negotiation behaviors among agents. Ontology, as a modeling technology in semantic web, is regarded as an effective tool to improve the negotiation ability of agents, considering that ontology can provide richer semantic expressions for agents in negotiation process. In this paper, we make a brief review on the current negotiation ontology researches. In addition, by means of a unique ontology notation system, we unify the notations used in these ontologies, to maximally promote knowledge sharing outcome in this field. By comparing and contrasting the ontologies from five perspectives, we draw a brief conclusion to the present status of negotiation ontology researches, and make our suggestions to the further research in this field. |
| first_indexed | 2025-11-14T09:05:10Z |
| format | Conference Paper |
| id | curtin-20.500.11937-40905 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:05:10Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-409052022-12-07T06:50:49Z State of the art in negotiation ontologies for enhancing business intelligence Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth A. Abraham S-Y. Han Negotiation is defined as two or more agents making agreement on the common interests, which provides an efficient approach for companies to gain business intelligence from suppliers and customers. Current negotiation research focuses on automatically stimulating negotiation behaviors among agents. Ontology, as a modeling technology in semantic web, is regarded as an effective tool to improve the negotiation ability of agents, considering that ontology can provide richer semantic expressions for agents in negotiation process. In this paper, we make a brief review on the current negotiation ontology researches. In addition, by means of a unique ontology notation system, we unify the notations used in these ontologies, to maximally promote knowledge sharing outcome in this field. By comparing and contrasting the ontologies from five perspectives, we draw a brief conclusion to the present status of negotiation ontology researches, and make our suggestions to the further research in this field. 2008 Conference Paper http://hdl.handle.net/20.500.11937/40905 10.1109/NWeSP.2008.11 Institute of Electrical and Electronics Engineers (IEEE) Computer Society fulltext |
| spellingShingle | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth State of the art in negotiation ontologies for enhancing business intelligence |
| title | State of the art in negotiation ontologies for enhancing business intelligence |
| title_full | State of the art in negotiation ontologies for enhancing business intelligence |
| title_fullStr | State of the art in negotiation ontologies for enhancing business intelligence |
| title_full_unstemmed | State of the art in negotiation ontologies for enhancing business intelligence |
| title_short | State of the art in negotiation ontologies for enhancing business intelligence |
| title_sort | state of the art in negotiation ontologies for enhancing business intelligence |
| url | http://hdl.handle.net/20.500.11937/40905 |