{"title":"Development of a text retrieval and mining system for Taiwanese historical people","authors":"S. Sie, Hao-Ren Ke, Su-bing Chang","doi":"10.23919/PNC.2017.8203522","DOIUrl":null,"url":null,"abstract":"Personage is an important kind of entities in study of history. Comprehensive understanding of personage biographies is beneficial for researching into historical events. This article introduces the development of a text retrieval and mining system for Taiwanese historical people — Taiwan Biographical Database (TBDB). It describes the characteristics of personages in TBDB, highlights the system architecture and preliminary achievement of TBDB, and proposes a method to recognize named entities in the personage biographies, specifically poetry societies, which achieves the recall rate 96% and the precision rate 65%. Finally, this article elaborates on the lessons learned through the creation of TBDB, and the future plans.","PeriodicalId":325096,"journal":{"name":"2017 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PNC.2017.8203522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Personage is an important kind of entities in study of history. Comprehensive understanding of personage biographies is beneficial for researching into historical events. This article introduces the development of a text retrieval and mining system for Taiwanese historical people — Taiwan Biographical Database (TBDB). It describes the characteristics of personages in TBDB, highlights the system architecture and preliminary achievement of TBDB, and proposes a method to recognize named entities in the personage biographies, specifically poetry societies, which achieves the recall rate 96% and the precision rate 65%. Finally, this article elaborates on the lessons learned through the creation of TBDB, and the future plans.