Automatic Sorting and Storage Based on Location Information for Massive Human-Centric Data Collection

Deepthi Bhupathiraju, Phani K. Sagiraju, and David Akopian

Abstract:	Information services have evolved rapidly over the years and adding a new dimension to this is a person or an object location. The union of Internet, wireless communication, location finding techniques and mobile devices has given rise to the exciting Location based services making a major impact on the way businesses are conducted. The evolution just began and opens many opportunities for technologies and businesses to take advantage of it. The modern mobile phones supporting different new technical capabilities also represent a great opportunity for application developers to create compelling services that are widely used and highly valued. As with the technological advancements, the amount of data being communicated is also increasing, that requires more advanced organizing capabilities. In this paper we present an automatic sorting and storage approach of communicated data according to the preferences made by a collecting source. The information can be structured according to many attributes such as the place, topic, importance, etc. The main idea is to have the information categorized as early as possible and enable automatic rerouting of data to designated data locations on a receiver side. As a case study a simple utility companies data collection application is developed This application can be extended to storing any information such as day to day life, landmarks, location data and much more, thereby providing a simple tool to sort and store information automatically and efficiently. Location Based Services will benefit from the suggested approach as it will help to categorize the information already tagged according to the location and time. The paper begins by discussing the importance of location based information and services the mobile phone can provide with this location based information. Then we address a suitable development platform which is based on Symbian/Series60 architecture. Finally, the application developed for Symbian/Series60 mobile phones is presented.
Published in:	Proceedings of the 2007 National Technical Meeting of The Institute of Navigation January 22 - 24, 2007 The Catamaran Resort Hotel San Diego, CA
Pages:	116 - 122
Cite this article:	Bhupathiraju, Deepthi, Sagiraju, Phani K., Akopian, David, "Automatic Sorting and Storage Based on Location Information for Massive Human-Centric Data Collection," Proceedings of the 2007 National Technical Meeting of The Institute of Navigation, San Diego, CA, January 2007, pp. 116-122.
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