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":"118 1","pages":"0"},"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\":\"118 1\",\"pages\":\"0\"},\"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。
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信