{"title":"A Mailing List Management System Mashing-Up with Web Services","authors":"Keisuke Fujiwara, Y. Nomura, H. Taniguchi","doi":"10.1109/BWCCA.2010.157","DOIUrl":null,"url":null,"abstract":"Mailing list (ML) was a popular system for discussing specific topics and was an easy tool for making birds of a feather. However, today, such kinds of MLs seem to be shrunk. Instead, we usually use SNS or Wiki systems for these purposes. Do you think ML was dead? No, you would receive many mails every day via several MLs. We think today's MLs are still alive changing their styles from mass service to small-internal service. The small-internal MLs are alive in small sections of offices and labs of universities. These kinds of MLs have different characteristics from traditional mass MLs. However, we don't have any good ML management system conforming with the new style MLs. We have to settle for using old-style popular ML administration systems in spite of the mismatch of use-case. We have developed a new ML management system, which helps the new small-internal MLs. In this paper, we explain that our ML system effectively helps users' group work mashing-up with other intranet or Internet web services.","PeriodicalId":196401,"journal":{"name":"2010 International Conference on Broadband, Wireless Computing, Communication and Applications","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Broadband, Wireless Computing, Communication and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2010.157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Mailing list (ML) was a popular system for discussing specific topics and was an easy tool for making birds of a feather. However, today, such kinds of MLs seem to be shrunk. Instead, we usually use SNS or Wiki systems for these purposes. Do you think ML was dead? No, you would receive many mails every day via several MLs. We think today's MLs are still alive changing their styles from mass service to small-internal service. The small-internal MLs are alive in small sections of offices and labs of universities. These kinds of MLs have different characteristics from traditional mass MLs. However, we don't have any good ML management system conforming with the new style MLs. We have to settle for using old-style popular ML administration systems in spite of the mismatch of use-case. We have developed a new ML management system, which helps the new small-internal MLs. In this paper, we explain that our ML system effectively helps users' group work mashing-up with other intranet or Internet web services.