Designing the automatic web tools for small business scale with Case-based reasoning

This paper shows how humans and machines can better collaborate to acquire adaptation knowledge (AK) in the framework of a case-based reasoning (CBR) system whose knowledge is encoded in a semantic wiki. Automatic processes like the CBR reasoning process itself, or specific tools for acquiring AK are integrated as wiki extensions. These tools and processes are combined on purpose to collect AK. Users are at the center of our approach, as they are in a classical wiki, but they will now benefit from automatic tools for helping them to feed the wiki. In particular, the CBR system, which is currently only a consumer for the knowledge encoded in the semantic wiki, will also be used for producing knowledge for the wiki. A use case in the domain of cooking is given to exemplify the man-machine collaboration. The managers should be skilled to make better decisions in the business organization. They also need a supportive environment where they won't be unfairly criticized for making wrong decisions. Decision making increasingly happens at all levels of a business. Business Intelligence delivers the appropriate data at the proper time and in the precise arrangement. It offers user-friendly information openly to users where they can work, team up, and make resolutions. Although the business intelligence have own button necks, hence the performance of business intelligence system goes down rapidly. In this paper, we are applying case-based reasoning (CBR) technologies in the business intelligence that overcomes the deficiencies of existing system. The business decision are being taken through the concept of case base reasoning approach.