顧靜秋+吳華瑞
摘要:針對目前我國農業決策支持系統與專家系統的信息呈孤島格局的現狀,農業信息資源和系統存在嚴重重復性建設問題,提出基于云計算平臺的農業知識云服務模式。以知識模型庫為基礎,運用Web Service 及XML技術,設計并實現通用的專家知識模型云端服務。應用結果表明,其為零配置客戶端的個性化知識應用系統的構建提供了便捷的工具,為實現“知識即服務”做出了有效的嘗試。
關鍵詞:云服務;農業知識;推理;加權模糊
中圖分類號:TP399 文獻標識碼:A 文章編號:0439-8114(2014)15-3643-04
Design and Implementation of Cloud Services Model of Agricultural Knowledge
GU Jing-qiu1,2,3,WU Hua-rui1,2,3
(1.Beijing Research Center for Information Technology in Agriculture,Beijing 100097,China;2. National Engineering Research Center for Information Technology in Agricultural, Beijing 100097, China;
3. Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing 100097, China)
Abstract: Agricultural decision support information systems and expert systems of China's are separated mutually. Repeated construction of agricultural information resources and systems is a serious problem. Cloud services model of agricultural knowledge based on cloud computing platform was proposed. Based on Knowledge Model base, Web Service and XML technology were used to design and realize generic expert knowledge cloud Web Services. Application results showed that it was a convenient tool for building personalized knowledge application systems of zero configuration client. This work was an effective attempt to achieve the “knowledge is service”.
Key words: cloud service; knowledge agriculture; reasoning; weighted fuzzy
收稿日期:2014-02-19
基金項目:國家科技支撐計劃項目(2012BAD52G01);北京市自然科學基金(4122034);北京市科委項目(D121100003212003)
作者簡介:顧靜秋(1977-),男,河北秦皇島人,副研究員,碩士,主要從事農業智能系統、數據挖掘研究,(電話)13366800727(電子信箱)
gujq@nercita.org.cn;吳華瑞,男,研究員,(電話)13070146450(電子信箱)38951466@qq.com。
現有的云計算平臺已趨成熟,如Google App Engine、Amazon Elastie Compute Cloud等。基于云計算實現的應用可以方便地部署其上使用其計算資源。而數據存儲方面,Google Bigtable與Amazon Simple Storage Service等為實現海量數據的分布式存儲與訪問提供了支持,計算平臺的商業化發展與成熟為構建農業知識云服務提供了很好的底層架構支持[1,2]。
Web服務是因特網上運行的應用。用戶所請求的服務運行在遠端系統上,后者充當服務的宿主。這種類型的Web API使得用戶能夠利用因特網上共享的功能,而不是提供自己的完整的應用程序。這種做法的最終結果是一個定制的、基于Web的應用程序,該程序的大部分由第三方提供,因而減輕了傳統應用程序在開發和帶寬方面的需求。……