Abstract
The field of deployed intelligence technologies has been surveyed. Based on this survey, we have developed a new deployment model based on a theoretical framework, a framework defined by notation. This work is partially outlined in notes that are published on the web. Web posting, of these notes, has allowed a discussion between several companies on contributed patented technology. The discussions have been about how to build up a data layer and data transaction layer for the development and management of elements that support real time formative ontology construction and rendering, as topic maps, in sizable Differential Ontology Framework Virtual Private Networks . Specific application is considered in national defense intelligence and in information production from medical research literatures in the form of medical ontology. Patent disclosure mapping and analysis is also being supported. This means localized ontology use and development and the management of the schema of these local ontologies into global community repositories. The concept of a is developed based on biological functions involved in human perception and cognition and in modeling the immune system reactions to antigen challenges. The key here is to be able to make measurements of data without having a schema imposed. Data is encoded into pairs, and then organized into ontological structures { < a, r, b > } where a and b are locations and r is a relational variable and with meaning attributed to these structures via topic maps reification. Once this meaning has been established, a stratified logic can be applied to predict the "properties" of compounds based on a partial understanding of what the compound (... the compound that one is looking at) is and how it is composed. This work is called categoricalAbstraction (cA) and eventChemistry (eC). The presentation will cover these concepts in an intuitive fashion. |
