{"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}
引用次数: 2
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.