Efficient Mapping and Knowledge Base Creation for Geospatial Portal like Bhuvan with Crowd Sourced Data

Abstract

newlineThe usage of smart phones and devices has been growing tremendously. People are newlinesharing huge amount of data at social media or other crowd sourcing platform. One of the newlinecommon examples of crowd sourced data is Point of Interest (PoI) data, available on newlinegeoportals and map websites. People are heavily dependent on the information available on newlinethese portals e.g., Google map data. People use to contribute on these websites and they may newlinenot be an expert in that area, hence there are chance in getting wrong meta data associated with newlinetagged PoI. Many use cases in the past showed the trouble observed due to wrong or unreliable newlineinformation. Many proprietary and open-source, crowd-sourced enabled geoportals are newlineavailable but they also missing the authenticity information about this data. There must be some newlinemethods to verify the huge data so that while using this data, one can ensure the authenticity of newlineit. There must be some indicators associated with this information which can provide the trust newlinefactor associated with this data. One of the aims of this research is to develop an authentication newlinemethod for verifying the PoI data available on geoportals. newlineFor this research work, Bhuvan portal is used as the reference case study. As per the newlinestudy done for Bhuvan geoportal, it provides the common platform for many government newlineapplications but there is no integration or linking among these data. Each one has its own data newlinebase. Also, the PoI data is not organized as the linked entity data to draw the inference as and newlinewhen required. Thus, it is a need of hour to keep the verified geotagged data as linked entity newlinedata to harness its actual power in various citizen centric services.