INFORMATION RETRIEVAL FROM GOOGLE MAP USING SEMANTIC WEB TECHNOLOGY

Lutfun Nahar, Rahima Afrose, Sanjida Sharmin

Abstract: Web resource such as information and service for providers and user are given in a more efficient way by todays web. This service are more enhancing by Semantic Web Technology. Various technologies have been developed to deploy the Semantic Web, such as machine understandable description languages, resource composition algorithms, RDF etc. It is known by us that a web based service is google map that provides full information about geographical region and sites around the world. But we cannot retrieve any information about unavoidable circumstances from map .Such as a strike is called in any district which road are affected and which are safe this type of information are not given by map. For this reason we suggest a model to retrieve information from google map by using Semantic Web Technology. To develop a model where we can use a useful Semantic Web and the applications , different types of the technologies must be analysis. In our thesis we analyze different aspects for service , which is not easy in the context of the Semantic Web. Theoretically and experimental data is used in our proposed system .Our evaluation shows the effectiveness for extracting information or content to get the regional blocked area and details information.

Keywords: Semantic Web; Ontology; RDF; Linked Data

DOI: https://doi.org/10.15623/ijret.2016.0505041