Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The development and testing of an expert system to assist with the selection of online business databases for UK company information is described. The Company Information Database Adviser (CIDA) was designed for novice and end-user searchers and covers seven categories of company information: factual (directory) details, financial data, company news, company structure, mergers and acquisitions (M & A) activity, market information and company profiles. The development tool was the Leonardo expert system shell. Knowledge acquisition included three knowledge elicitation sessions with each of four experienced business information intermediaries. Outputs of knowledge acquisition re: (i) factual and evaluative information for over 200 database/host combinations, and (II) rules, expressed diagrammatically, for datanase selection within each category of company inforamtion. These re used to build a prototype which was examined by intermediaries and further refined. The tests and study concludes that expertise in business database selction can successfully be distilled into a number of rules which can be applied by an expert system, but more research is needed into how databases are selected and used
['Anne Morris', 'Gwyneth Tseng', 'H. Drenth']
I am writing a research paper on a idea CIDA: the expert Company Information Database Adviser
[{"from": "human", "value": "I am writing a research paper on a idea CIDA: the expert Company Information Database Adviser"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The development and testing of an expert system to assist with the selection of online business databases for UK company information is described. The Company Information Database Adviser (CIDA) was designed for novice and end-user searchers and covers seven categories of company information: factual (directory) details, financial data, company news, company structure, mergers and acquisitions (M & A) activity, market information and company profiles. The development tool was the Leonardo expert system shell. Knowledge acquisition included three knowledge elicitation sessions with each of four experienced business information intermediaries. Outputs of knowledge acquisition re: (i) factual and evaluative information for over 200 database/host combinations, and (II) rules, expressed diagrammatically, for datanase selection within each category of company inforamtion. These re used to build a prototype which was examined by intermediaries and further refined. The tests and study concludes that expertise in business database selction can successfully be distilled into a number of rules which can be applied by an expert system, but more research is needed into how databases are selected and used"}]