基于存储信息特征词提取的文档摘要与表示系统研究

Kei Matsubayashi, Akihiro Yamashita, H. Nonaka, Yohko Konno
{"title":"基于存储信息特征词提取的文档摘要与表示系统研究","authors":"Kei Matsubayashi, Akihiro Yamashita, H. Nonaka, Yohko Konno","doi":"10.1109/TAAI.2018.00022","DOIUrl":null,"url":null,"abstract":"This study examines a method of effective utilization as knowledge in organizational stored information of business activities. More specifically, the purpose of this study is developing a system that supports efficient finding of appropriate knowledge from the stored information according to a question sentence input from a user. As an approach, we used automatic documents summarization technology to obtain valuable information from the stored information and we evaluated the effectiveness based on the real bulletin board system data from a certain company.","PeriodicalId":211734,"journal":{"name":"2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Research on Document Summarization and Presentation System Based on Feature Word Extraction from Stored Informations\",\"authors\":\"Kei Matsubayashi, Akihiro Yamashita, H. Nonaka, Yohko Konno\",\"doi\":\"10.1109/TAAI.2018.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines a method of effective utilization as knowledge in organizational stored information of business activities. More specifically, the purpose of this study is developing a system that supports efficient finding of appropriate knowledge from the stored information according to a question sentence input from a user. As an approach, we used automatic documents summarization technology to obtain valuable information from the stored information and we evaluated the effectiveness based on the real bulletin board system data from a certain company.\",\"PeriodicalId\":211734,\"journal\":{\"name\":\"2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAAI.2018.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAAI.2018.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本研究探讨了一种有效利用组织存储的商业活动信息中的知识的方法。更具体地说,本研究的目的是开发一个系统,支持根据用户输入的问题句子从存储的信息中有效地找到适当的知识。本文采用文档自动汇总技术,从存储的信息中获取有价值的信息,并以某公司公告栏系统的真实数据为基础,对其有效性进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Research on Document Summarization and Presentation System Based on Feature Word Extraction from Stored Informations
This study examines a method of effective utilization as knowledge in organizational stored information of business activities. More specifically, the purpose of this study is developing a system that supports efficient finding of appropriate knowledge from the stored information according to a question sentence input from a user. As an approach, we used automatic documents summarization technology to obtain valuable information from the stored information and we evaluated the effectiveness based on the real bulletin board system data from a certain company.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Ant Colony Optimization with Negative Feedback for Solving Constraint Satisfaction Problems Using Machine Learning Algorithms in Medication for Cardiac Arrest Early Warning System Construction and Forecasting Using AHP to Choose the Best Logistics Distribution Model A Vector Mosquitoes Classification System Based on Edge Computing and Deep Learning Deep Recurrent Q-Network with Truncated History
×
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