TMG-BoBI:使用文本到矩阵生成器生成书后索引

Theoni Koutropoulou, Efstratios Gallopoulos
{"title":"TMG-BoBI:使用文本到矩阵生成器生成书后索引","authors":"Theoni Koutropoulou, Efstratios Gallopoulos","doi":"10.1109/IISA.2019.8900745","DOIUrl":null,"url":null,"abstract":"A common editorial task when preparing scientific monographs, books, even long articles such as surveys, is to prepare a Back-of-the-Book index (BoBI). In this paper we study the automation of this task and propose a system for facilitating authors. We leverage text mining techniques and specifically Automated Keyword Extraction (AKE), the Text to Matrix Generator (TMG) which is a MATLAB toolbox for text mining, and the indexing tools of J4T_{E}X. From our experiments using publicly available datasets, our system appears to be capable of generating satisfactory indexes that can be used after only little user intervention.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"TMG-BoBI: Generating Back-of-the-Book Indexes with the Text-to-Matrix-Generator\",\"authors\":\"Theoni Koutropoulou, Efstratios Gallopoulos\",\"doi\":\"10.1109/IISA.2019.8900745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A common editorial task when preparing scientific monographs, books, even long articles such as surveys, is to prepare a Back-of-the-Book index (BoBI). In this paper we study the automation of this task and propose a system for facilitating authors. We leverage text mining techniques and specifically Automated Keyword Extraction (AKE), the Text to Matrix Generator (TMG) which is a MATLAB toolbox for text mining, and the indexing tools of J4T_{E}X. From our experiments using publicly available datasets, our system appears to be capable of generating satisfactory indexes that can be used after only little user intervention.\",\"PeriodicalId\":371385,\"journal\":{\"name\":\"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IISA.2019.8900745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA.2019.8900745","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

在准备科学专著、书籍,甚至像调查这样的长篇文章时,一个常见的编辑任务是准备书后索引(BoBI)。本文研究了这一任务的自动化,并提出了一个方便作者的系统。我们利用文本挖掘技术,特别是自动关键字提取(AKE),文本到矩阵生成器(TMG),这是一个用于文本挖掘的MATLAB工具箱,以及J4T_{E}X的索引工具。从我们使用公开可用数据集的实验来看,我们的系统似乎能够生成令人满意的索引,只需少量用户干预即可使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TMG-BoBI: Generating Back-of-the-Book Indexes with the Text-to-Matrix-Generator
A common editorial task when preparing scientific monographs, books, even long articles such as surveys, is to prepare a Back-of-the-Book index (BoBI). In this paper we study the automation of this task and propose a system for facilitating authors. We leverage text mining techniques and specifically Automated Keyword Extraction (AKE), the Text to Matrix Generator (TMG) which is a MATLAB toolbox for text mining, and the indexing tools of J4T_{E}X. From our experiments using publicly available datasets, our system appears to be capable of generating satisfactory indexes that can be used after only little user intervention.
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:604180095
Book学术官方微信