Research on Object-Oriented Knowledge Base Management Technology for Improving Productivity and Competitiveness in Manufacturing

提出的研究基于面向对象的语义关联模型，该模型已用于支持国家标准局集成制造设施的分布式数据管理系统的原型开发。本研究旨在扩展该模型，以允许在对象类和实例中定义用户定义的操作和知识规则，其中包括模型完整性和安全约束、演绎规则和特定领域的专家规则。因此，与对象相关的知识规则与对象的数据集成在一起，以便在处理相关数据时可以随时使用规则。开发了一种面向对象的高级知识操作语言。它允许用户指定复杂的语义模式作为搜索上下文，并专注于他们感兴趣的对象，而不必在查询中显式指定遍历路径。提出了一种在匹配-修改-执行周期处理事务时应用相关规则知识的机制。提出的数据库和推理组件的功能集成允许对查询优化、事务管理、完整性和安全性控制以及并发控制等技术进行裁剪，以便在知识库管理系统环境中使用。

The proposed research is based on an object-oriented semantic association model, which has been used in a prototype development of a distributed data administration system for supporting the integrated manufacturing facility of the National Bureau of Standards. This research aims to extend the model to allow user-defined operations and knowledge rules, which model integrity and security constraints, deductive rules, and domain specific expert rules, to be defined in object classes and instances. Thus, knowledge rules associated with objects are integrated with their data so that rules are readily available when associated data are being processed. A high-level object-oriented knowledge manipulation language will be developed. It allows the user to specify complex semantic patterns as search contexts and to concentrate on the objects of their interest without having to explicitly specify the traversal paths in queries. A mechanism for applying relevant rule-based knowledge while processing a transaction in a match-modify-execute cycle is proposed. The proposed functional integration of database and reasoning components allows tailoring of techniques such as query optimization, transaction management, integrity and security control, and concurrency control for use in the knowledge base management system environment.