Document retrieval expert system shell with worksheet-based knowledge acquisition facility

C. Yasunobu, R. Itsuki, H. Tsuji, Fumihiko Mori
{"title":"Document retrieval expert system shell with worksheet-based knowledge acquisition facility","authors":"C. Yasunobu, R. Itsuki, H. Tsuji, Fumihiko Mori","doi":"10.1109/CMPSAC.1989.65096","DOIUrl":null,"url":null,"abstract":"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.<<ETX>>","PeriodicalId":339677,"journal":{"name":"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.1989.65096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

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.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
文档检索专家系统外壳,具有基于工作表的知识获取功能
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
What are the 'carry over effects' in changing from a procedural to a declarative approach? Critical issues in real-time software systems Models to estimate the number of faults still resident in the software after test/debug process Evaluating software development environment quality Structuring large versioned software products
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1