Berman L, Cullen M, Miller P L
Section of Pulmonary and Critical Care Medicine, Yale University School of Medicine, New Haven, Connecticut 06510.
Comput Biomed Res. 1993 Jun;26(3):230-41. doi: 10.1006/cbmr.1993.1016.
Expert system applications in the biomedical domain have long been hampered by the difficulty inherent in maintaining and extending large knowledge bases. We have developed a knowledge-based method for automatically augmenting such knowledge bases. The method consists of automatically integrating data contained in commercially available, external, online databases with data contained in an expert system's knowledge base. We have built a prototype system, named DBX, using this technique to augment an expert system's knowledge base as a decision support aid and as a bibliographic retrieval tool. In this paper, we describe this prototype system in detail, illustrate its use, and discuss the lessons we have learned in its implementation.
生物医学领域中的专家系统应用长期以来一直受到维护和扩展大型知识库所固有的困难的阻碍。我们开发了一种基于知识的方法来自动扩充此类知识库。该方法包括将商业可用的外部在线数据库中包含的数据与专家系统知识库中包含的数据自动集成。我们使用这种技术构建了一个名为DBX的原型系统，以扩充专家系统的知识库，用作决策支持辅助工具和书目检索工具。在本文中，我们详细描述了这个原型系统，举例说明了它的用途，并讨论了在其实施过程中吸取的经验教训。
