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Position: Home > Articles > Design Research of Intelligent RSS Reader for Fishery Scientific Data Chinese Agricultural Science Bulletin 2013,29 (32) 95-99

渔业科学数据智能RSS阅读器的设计研究

作  者:
肖慧;王立华;徐硕;陈孟婕
单  位:
中国水产科学研究院渔业工程研究所/中国水产科学研究院渔业信息工程研究中心/中国水产科学研究院渔业信息工程功能实验室
关键词:
RSS阅读器;智能化;渔业科学数据;向量空间模型;中文分词;对象持久化
摘  要:
针对传统RSS阅读器在实际应用中接收大量冗余信息的问题,提出一种智能化的RSS阅读器。该阅读器基于渔业科学数据平台,采用向量空间模型,运用中文分词、对象持久化等技术实现智能原理,设计实现了智能化RSS阅读器。实验证明:该阅读器的过滤有效性为86.2%,过滤准确性为82.4%,能够较好地过滤掉与用户不相关的信息。应用结果表明:渔业科学数据智能RSS阅读器的实现可使用户获得更精准的信息。
译  名:
Design Research of Intelligent RSS Reader for Fishery Scientific Data
作  者:
Xiao Hui;Wang Lihua;Xu Shuo;Chen Mengjie;Institute of Fisheries Engineering of Chinese Academy of Fishery Sciences/Fisheries Information Engineering Research Center of Chinese Academy of Fishery Sciences/Fisheries Information Engineering Functional Lab of Chinese Academy of Fishery Sciences;
关键词:
RSS Reader;;Intelligent technique;;Fishery Scientific Data;;Vector Space Model;;Chinese Word Segmentation;;object persistence
摘  要:
The traditional RSS reader receives a large amount of redundant information. The object of the study is to provide an intelligent reader to solve the problem. The paper proposes an intelligent RSS reader based on Fisheries Science Data Platform. The key intelligent techniques applied in the paper include VSM(Vector Space Model), Chinese word segmentation and object persistence techniques. According to the RSS reader experiment, the effectiveness of filtering is 86.2% and the accuracy of filtering is 82.4%. The result proved that the reader can effectively filter out the irrelevant information. The results of application showed that,implementation intelligent RSS reader of fisheries science data allows users to obtain more accurate information.

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