Commonsense Knowledge Base Research Articles

Unlocking the Power of Systems Engineering for Product and Process Management

ABSTRACTTo improve the efficiency of American industry, it is necessary to create an environment to manage and control the processes that enable complex systems to be created, deployed, operated, supported, and disposed of. Steps toward realizing that environment include process definition, organizational development, assignment of responsibility, and personnel training. Automated support tools are essential for defining and managing the environment and for personnel training. These tools must include abroad range of modeling elements, a three-schema representation system, stored content (data base) and application logic acquisition tools, and a common-sense knowledge base for product definition. This article will provide a background regarding these requirements and will describe efforts to meet the requirements through developing and applying advanced information system technologies.

SYSTEMS ENGINEERING ROLE IN PROCESS MANAGEMENT

AbstractTo improve the efficiency of American industry, it is necessary to create an environment to manage and control the processes that enable the creation, deployment, operation, support and disposal of complex systems. Steps toward realizing that environment include: process definition, organizational development, assignment of responsibility, and personnel training. Automated support tools are essential to assist with the definition and management of the environment, as well as with personnel training. The tools must include: a broad range of modeling elements, a 3‐schema representation system, stored content (e.g. database) and application logic acquisition tools, and a commonsense knowledgebase for product definition. This paper will provide a background regarding these requirements and will describe efforts to meet the requirements through the development and application of advanced information system technologies.

CYC: A MID-TERM REPORT

Abstract After explicating the need for a large common-sense knowledge base spanning human consensus knowledge, we report on many of the lessons learned over the first five years of attempting its construction. We have come a long way, in terms of methodology, representation language, techniques for efficient inferencing, the ontology of the knowledge base, and in terms of the environment and infrastructure in which it is being built. We describe the evolution of Cyc, its current state, and close with a look ahead at our plans and expectations for the coming five years, including an argument for how and why the project may conclude at that time.

Cyc: a mid-term report

After explicating the need for a large commonsense knowledge base spanning human consensus knowledge, we report on many of the lessons learned over the first five years of attempting its construction. We have come a long way in terms of methodology, representation language, techniques for efficient inferencing, the ontology of the knowledge base, and the environment and infrastructure in which the knowledge base is being built. We describe the evolution of Cyc and its current state and close with a look at our plans and expectations for the coming five years, including an argument for how and why the project might conclude at the end of this time.