|
<< Back to Aviation Integrated Reasoning Modeling Matrix ( AIRMM )
The Knowledge Formulation and Analysis Environment
 The recent development of information and knowledge-based standards is changing the way information is being viewed and handled. Highly complex and dynamic domains, along with turnover of personnel cause inefficient use and loss of knowledge. In an attempt to minimize these affects, industry has introduced Knowledge Base Systems to capture formalized domain knowledge. The movement by industry to adopt knowledge base systems is an attempt to capture, formalize and optimize an organization's knowledge into a knowledge representation that is directly usable by computers.
The Knowledge Formulation and Analysis Environment includes the Aviation Knowledge Management System (AKMS) that supports the formulation, capturing, and abstraction of aviation knowledge. AKMS is composed of a Knowledge Base, a Reasoning System, and an Agent communications support infrastructure. The knowledge base will contain a large repository of aviation knowledge in the form of an Aviation Ontology. The knowledge base problem solving methods support the development of specific decision/reasoning components centered around the evaluation of advanced operational concepts. These components are contained and managed in a centralized reasoning repository to maximize their reuse.
The Knowledge Formulation and Analysis Environment also includes systems to capture and manage aviation knowledge from domain experts, simulation exercises, and operational data. Domain experts interact through web services to submit knowledge of the aviation domain. The Operational Data Stores, Data Warehouses, and Web Servers provide storage mechanisms to capture and manage large amounts of data and information from the aviation domain.
The Knowledge Base is based on the tool suite Protégé out of Stanford University. The development of the Protégé tool suite started over 13 years ago. The Knowledge Modeling Group at Stanford Medical Informatics (SMI) has turned Protégé into a general-purpose set of knowledge modeling tools. Protégé was an outgrowth of the ONOCIN project and subsequent attempts to build expert systems for protocol-based therapy planning. More recently, parts of the Protégé system were funded under the High Performance Knowledge Base (HPKB) Project of DARPA to investigate knowledge re-use
<< Back to Aviation Integrated Reasoning Modeling Matrix ( AIRMM )
|
