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以将编辑过程中最核心的部分稿件评审、编辑加工和校对信息化从而提高科技期刊质量为目标,提出了多媒体编辑工程专家系统 MEEES(Multimedia Editorial Engineering Expert System)。MEEES 由知识源、信息库和专家系统框架三部分组成。研究者参考其他专家系统的成功经验,将编辑工程中的知识分为描述型、数据型、规则型、集合型四种,并给出了系统的典型推理和决策机制。使用 Authorware 作为开发工具实现了系统。该系统为开发类似专家系统提供了借鉴。
In order to improve the quality of sci-tech periodicals by reviewing, editing, processing and proofreading the core part of the editorial process, a Multimedia Editing Engineering Expert System (MEEES) was proposed. MEEES consists of knowledge source, information base and expert system framework. Based on the successful experience of other expert systems, the researcher divided the knowledge in editing project into four types: description type, data type, regular type and collective type, and gave the typical reasoning and decision-making mechanism of the system. Using Authorware as a development tool to implement the system. The system provides a reference for developing a similar expert system.