A Computer Intermediary for Scientific and Technical Information Retrieval by End Users

信息科学研究的目标之一是提高 数据库查询语言，使它们更易于使用，更容易 学习，并且不太容易出现用户错误。 大多数非技术终端用户 不能使用现有的大型在线书目数据库系统 没有受过专门训练的中介或专家的帮助， 使用在线系统，甚至是经过培训的中介机构， 并不精通所有的书目， 系统可用。 人工智能技术的使用 来生产电脑助手或中间设备， 最终用户和专家可以检索信息 直接和有效地协助查询结构。 具体的重点是引导用户的不受控制的 词汇表查询控制索引词汇表 具体数据库。 一种协助用户的计算机中介 将实现查询构造来验证这一点 化学文摘数据库的原理。 结果 将适用于查询构造 用于信息检索，特别是通过非技术 人员和临时用户，在广泛的数据库系统。

One goal of information science research is the improvement of database query languages, making them simpler to use, easierto learn, and less prone to user error. Most non-technical endusers cannot use existing large online bibliographic database systems without help from specially trained intermediaries or experts in the use of the online systems, and even trained intermediaries are not equally proficient in all of the many bibliographic systems available. The use of artificial intelligence techniques to produce computer assistants or intermediaries will make it possible for end users and experts to retrieve information directly and efficiently by assisting with query construction. The specific emphasis is on directing the user's uncontrolled vocabulary queries toward controlled indexing vocabulary for a particular database. A computer intermediary to assist users with query construction will be implemented to validate this principle on the Chemical Abstracts database. The results obtained in this study will be applicable to query construction for information retrieval, particularly by non- technical personnel and casual users, on a wide range of database systems.