Expressive knowledge is knowledge of the "how". This kind of knowledge is important to us for many reasons. The key to the effective performance of organizations lies in the skill and consistency with which they carry out their tasks. The more complex and challenging the tasks, the more valid and legitimate the organization. The more varied and nuanced the available processes of the firm, the more opportunity it enjoys to serve its customers and expand its markets.
Expressive knowledge is also critical to an organization as it grows and faces increased responsibilities and requirements that may not have direct bearing on their business. For example, a manufacturer may face environmental regulations with regard to its raw materials. To ignore such requirements may compromise the firm in its entirety. To perform them poorly may result in poor performance and lower standards generally. Pollution is pollution, after all. To master such activities in efficient ways, the firm not only can enjoy some element of celebrity, it may find additional markets and competitive advantages.
Expressive knowledge is the key to fluidity. By fully engaging its managers and subject experts to create and to foster expressive knowledge using technology and classification models, the firm can see a path toward a level of organizational wisdom. This blessed state is achieved when all members of the organization function in accord with the knowledge of the best informed, the most apt experts available to the firm.
The generative taxonomy model is a key element in creating expressive knowledge. Based as it is on the simplest possible way of expressing frames and knowledge schemas, the generative taxonomy approach meets the fundamental requirements of science. It is both simple and complete. Five concepts make up the generative taxonomy model. The first three of those concepts are computational in nature. The last two are semantic. The result is an environment that is both computationally complete and semantically rich.