Geotagging: Systematic Anatomization and Conceptual Model for POI Verification
Monika Sharma1, Vinod Bothale2, Meenakshi Nawal3, Mahesh Bundele4
1Monika Sharma*, Computer Engineering, Poornima University, Jaipur, India.
2Vinod Bothale, National Remote Sensing Center, ISRO, Hyderabad, India.
3Meenakshi Nawal, Computer Engineering, Poornima University, Jaipur, India.
4Mahesh Bundele, Computer Engineering, Poornima University, Jaipur, India.
Manuscript received on August 13, 2020. | Revised Manuscript received on August 25, 2020. | Manuscript published on September 10, 2020. | PP: 339-348 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78200991120 | DOI: 10.35940/ijitee.K7820.0991120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: People have been contributing large amount of data every day in Geographical Information Portal however to harness the real power of this tremendous amount of data, it must be managed efficiently. There are some challenges with this data, such as authentication and skewedness. Maximum public places even in a small village must be geotagged to provide better citizen centric services specifically in developing countries. Hence, it’s a need of hour to enrich the unique Indian GIS portal “Bhuvan” with Point of Interest (POI) data where one can find all necessary information. Although POI on Bhuvan is improving day by day however to overcome the challenges mentioned above is an important task. Therefore, a framework is required to expedite the tagging and authentication process of the tagged data in an efficient manner to exploit the power of POI data. In this paper, we have explored the available techniques to improve and verify the crowd sourced data and propose a conceptual model to accomplish the objective of verifying and managing the geotagged data to enrich the portal. A trust rank parameter is introduced to ensure the quality of the POI data. This will be calculated using multisource verification model using state of the art open source technologies available. This verified POI data can be used further in knowledge Graph creation to get better search facility.
Keywords: Authentication, Crowdsourcing, Point of Interest, Tagging.
Scope of the Article: Authentication