•  
  •  
 

Georgia Journal of Science

Article Title

APPLICATION OF INTELLIGENT WEB SEARCH TO BUILD CAMPUS MAPS

Abstract

The proposed research is building an application to provide visitors with details maps of universities and the adjacent properties allowing individuals to access maps of different universities without download navigation maps for every university. Automatic Campus App Generator connects the visitors and universities using cloud computing technology. The cloud computing technology enables all cartographic elements of the university and the adjacent properties to be uploaded effectively using the Admin dashboard. When the “update” button on the Admin dashboard is clicked, the application collects all the cartographic elements of the university, such as dining halls, departments, parking, and libraries from the intelligent Google Search and Google Map API. The collected data is then automatically uploaded on the database and eventually displayed. Python and Django web framework forms the backbone of the server in the Automatic Campus App Generator application. The application uses SQLite for its database while the client comprises a combination of CSS, HTML, and JavaScript aided by Bootstrap. The Intelligent Web Search component of this application uses public cloud computing services of Google Search (API), BeautifulSoup, and Google Maps (API) to generate the best results. Our study has so far been able to retrieve 57 percent of cartographic information for five different universities using the automated intelligent web search strategy.

This document is currently not available here.

Share

COinS