文档检索专家系统外壳,具有基于工作表的知识获取功能

C. Yasunobu, R. Itsuki, H. Tsuji, Fumihiko Mori
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引用次数: 3

摘要

描述了一个用于智能文档检索的域外壳ESOCKS。ESOCKS的一个重要特点是它的关联检索能力。ESOCKS将输入关键字与其他关键字关联,并利用增强关键字检索文档。关键字关联可防止用户丢失合适的文档。附加到每个检索到的文档的确定性因素使用户能够从某些候选文档中选择合适的文档。ESOCKS的另一个重要特点是它的知识获取设施,使用八种工作表。对于专家来说,开发专家系统包括根据格式提取知识并将其输入工作表。使用ESOCKS的经验表明,一个独立的专家可以建立一个专家系统,并且联想检索比传统的关键字检索更智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Document retrieval expert system shell with worksheet-based knowledge acquisition facility
ESOCKS, a domain shell for intelligent document retrieval is described. An important feature of ESOCKS is its associative retrieval capability. ESOCKS associates input keywords with other keywords and utilizes the augmented keywords to retrieve documents. Keyword association prevents users from missing suitable documents. The certainty factor attached to each retrieved document enables the user to select suitable documents from certain candidates. Another important feature of ESOCKS is its knowledge acquisition facility, using eight kinds of worksheet. For experts, developing an expert system consists of extracting knowledge according to the format and entering it in worksheets. Experience with ESOCKS indicates that an unassisted expert can built an expert system and that associative retrieval is more intelligent than conventional keyword retrieval.<>
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