Configurable and networked web-based vertical applications
D.C. Ni, Shaojie Ni · 2002
As network and mobile computing technologies evolving, the enterprise applications are also expanded to web-based platforms facilitated by these enabling technologies. The progress is further propelled by large-scale e-commerce activities such as B2C (business-to-consume) and B2B (business-to-business) applications. This paper proposes the use of observations and models of brain development in the early childhood for e-commerce and WWW growth models, particularly for B2C and B2B activities. Biological models enlighten the effectiveness of business cluster models. Based on these models, we propose a configurable and networked architecture and present a cost-effective implementation for supporting business collaboration by emerging Internet frameworks and AI technologies such as rule-based systems and neural networks.