Title :
Competent Searching for Geographic Information Gathering Using Knowledge Mining
Author :
Jadon, Kuldeep Singh ; Maheshwari, Satyam ; Dixit, Manish
Author_Institution :
SATI, Vidisha, India
Abstract :
We live in a collaborative world. Arguably, the most productive way of data collection is to recruit a large number of people for data entry. Internet provides a very powerful and versatile medium to bring together such a large number of people With this in mind, we have developed a framework which enables neophyte users to build applications for social co-creation of geographic data, called Geoinformer. 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. Geoinformer 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 Open Layers JavaScript library to create maps, and the web2py web framework to control the application work flow.
Keywords :
Internet; Java; cartography; data mining; geographic information systems; groupware; interactive systems; Internet; OpenLayers JavaScript library; application work flow; collaborative world; competent searching; data collection; data entry; geographic data; geographic information gathering; geoinformer; interactive maps; knowledge mining; social abstraction; web2py Web framework; Collaboration; Data mining; Databases; Educational institutions; Geographic information systems; Internet; abstraction; geographic; mind; open layers;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
DOI :
10.1109/CICN.2012.69