{"title":"aAqua: a database-backended multilingual, multimedia community forum","authors":"K. Ramamritham, A. Bahuman, S. Duttagupta","doi":"10.1145/1142473.1142589","DOIUrl":null,"url":null,"abstract":"aAQUA is an online multilingual, multimedia Agricultural portal for disseminating information from and to rural communities. It answers farmers' queries based on the location, season, crop and other information provided by farmers. aAQUA makes use of novel database systems and information retrieval techniques like intelligent caching, offline access with intermittent synchronization, semantic-based search, etc. aAQUA's large scale deployment provides avenues for researchers to contribute in the areas of knowledge management, cross-lingual information retrieval, and providing accessible content for rural populations. Apart from agriculture, aAQUA can be configured and customized for expert advice in education, healthcare and other domains of interest to a developing population. This demonstration showcases the utility of various component DB/IR technologies built into aAQUA to enhance the QoS delivered to rural populations.","PeriodicalId":416090,"journal":{"name":"Proceedings of the 2006 ACM SIGMOD international conference on Management of data","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2006 ACM SIGMOD international conference on Management of data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1142473.1142589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
aAQUA is an online multilingual, multimedia Agricultural portal for disseminating information from and to rural communities. It answers farmers' queries based on the location, season, crop and other information provided by farmers. aAQUA makes use of novel database systems and information retrieval techniques like intelligent caching, offline access with intermittent synchronization, semantic-based search, etc. aAQUA's large scale deployment provides avenues for researchers to contribute in the areas of knowledge management, cross-lingual information retrieval, and providing accessible content for rural populations. Apart from agriculture, aAQUA can be configured and customized for expert advice in education, healthcare and other domains of interest to a developing population. This demonstration showcases the utility of various component DB/IR technologies built into aAQUA to enhance the QoS delivered to rural populations.
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