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COUPLING EXPERT SYSTEMS WITH DATABASE MANAGEMENT SYSTEMS

机译:使用数据库管理系统耦合专家系统

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摘要

The combined use of Database Management Systems (DBMS)and Artificial Intelligence-based Expert Systems (ES) ispotentially very valuable for modern business applications.The large body of facts usually required in business informationsystems can be made available to an ES through anexisting commercial DBMS. Furthermore, the DBMS itself canbe used more intelligently and operated more efficiently ifenhanced with ES features. However, the implementation ofa DBMS-ES cooperation is very difficult.We explore practical benefits of the cooperative use ofDBMS and ES, as well as the research challenges it presents.Strategies for providing data from a DBMS to an ES are given;complementary strategies for providing intelligence from anES to a DBMS are also presented. Finally, we discuss architechural issues such as degree of coupling, and combinationwith quantitative methods.As an illustration, a research effort at New York University to integrate a logic-based business ES with a relationalDBMS is described.
机译:数据库管理系统(DBMS)和基于人工智能的专家系统(ES)的结合使用对于现代商业应用来说非常有价值。商业信息系统中通常需要的大量事实可以通过现有的商业DBMS提供给ES。此外,如果增强了ES功能,则可以更智能地使用DBMS本身并更有效地操作。但是,实现DBMS-ES合作非常困难。我们探索DBMS和ES的协同使用的实际好处,以及它所提出的研究挑战。给出了从DBMS向ES提供数据的策略;补充的策略还介绍了从anES向DBMS提供情报的方法。最后,我们讨论了诸如耦合度和与定量方法结合之类的建筑学问题。作为说明,描述了纽约大学将基于逻辑的业务ES与关系DBMS集成的研究工作。

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