Iis Siti Darawaty, S. Syarah, A. Nugroho, Fara Ayuningtyas, Yuki Istianto, Bowo Prasetyo, M. T. Uliniansyah, Made Gunawan, Desi Ani, Asril Jarin, Dwi Handoko
{"title":"Intelligent Searching Using Association Analysis for law Documents of Indonesian Government","authors":"Iis Siti Darawaty, S. Syarah, A. Nugroho, Fara Ayuningtyas, Yuki Istianto, Bowo Prasetyo, M. T. Uliniansyah, Made Gunawan, Desi Ani, Asril Jarin, Dwi Handoko","doi":"10.1109/ACT.2010.48","DOIUrl":null,"url":null,"abstract":"Information Retrieval (IR) technology helps people to search relevant and necessary documents from massive digital database. In the context of e-law enforcement, it can be used to find verses related to a certain topic and presenting the relationship between one verse to the others. In this study we propose an intelligent searching system for Indonesian law documents which is enhanced by association analysis to discover the association of law related keywords, thus providing guidance for the user to find related verses.","PeriodicalId":147311,"journal":{"name":"2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACT.2010.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Information Retrieval (IR) technology helps people to search relevant and necessary documents from massive digital database. In the context of e-law enforcement, it can be used to find verses related to a certain topic and presenting the relationship between one verse to the others. In this study we propose an intelligent searching system for Indonesian law documents which is enhanced by association analysis to discover the association of law related keywords, thus providing guidance for the user to find related verses.