抽象的

EFFICIENT SEARCHING FOR GEOGRAPHICAL DATA GATHERING USING KNOWLEDGE MINING

Kuldeep Singh Jadon, Satyam Maheshwari

We live in a mutual world. Perhaps, the most productive way of data collection is to recruit a large number of people for data entry. Internet provides a very powerful and adaptable medium to bring together such a large number of people With this in mind, we have developed a framework which enables novice users to build applications for social co-creation of geographic data, called Geogather. Users can create interactive maps with multiple layers to collect geographic information. Geographic information is any data which has a (latitude, longitude) value attached with it. An application can have multiple layers to differentiate features of different types, such as hotels and schools. Geogather allows user roles, thereby adding a social abstraction on top of the application, so users can control the process of data collection. We have used the OpenLayers JavaScript library to create maps, and the web2py web framework to control the application work flow.

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谷歌学术
学术期刊数据库
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学术钥匙
研究圣经
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电子期刊图书馆
参考搜索
哈姆达大学
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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