Abstract Mobile and wireless technologies have evolved rapidly in recent years, especially the development of hardware devices, such as PDA and Smartphone. Telecommunication service providers, manufacturers and other developers have launch- ed different kinds of services and applications in these mobile devices. Mobile Geographic Information and Location Based Service appear recently to help people to establish spatial relationship with the surroundings. Map, which is a useful tool to assist a person to define a position in a particular area, is usually included in these systems. However, there is no standard format of graphic presentation for map in mobile devices. In this paper, the effective method was suggested for the transmission of the geographic information acquired by camera attached to a PDA such as position data, attitude data, and image data in the wireless internet environment in real-time. Keywords : LBS(Local Based Services), Mobile Mapping, Image Recognition, GeoComputing Platform, PDA 1. Introduction It is no doubt that map is a useful tool to assist a person to define a position in a particular area. With the mature development in mobile devices such as PDA(Personal Digital Assistant) and cellular phone, mobile GIS(Geographic Information System) and LBS(Location Based Services) appear recently to help people to establish spatial relationship with the surroundings. As the bandwidth in wireless platform is still much lower than that across Internet platform, transform rate of data between server and mobile client is a critical issue. Pixel-based raster map requires comparably larger space storage to provide high quality of map detail and does not support interactive functions. Also low resolution screen display would degrade the convenience of using raster map in mobile devices. As a result, vector display should be introduced for describing spatial data in mobile devices. Scalable Vector Graphics(SVG), which is a XML based vector graphic display across Internet platform, is introduced by the World Wide Web Consortium(W3C) in 1999. With respect to the rapid development in mobile and wireless technologies, W3C has defined the Mobile SVG standard and specifications in the early of 2003. SVG consists of fruitful painting, masking, clipping, filtering and styling characteristics, various researches and potential applications are carried out with the use of its extraordinary characteristics, examples such as Interactive Web Mapping [1][2], Multimedia Stroyboard [3], Geo-Spatial Education [4], Computer Aided Design [5], etc. Human Geographic has experienced continual changes since the burgeoning of academic structure of geography in Germany in the late 19th century. The emergence of spatial analysis which appealed the enervation of traditional regional geographic brought about the paradigm fever in human geographic. However, paradigm suggested by spatial scientists disclosed lacks in the use of its perception and application. [6]. To provide various information based on the location of mobile user, LBS requires GIS functionality for mapping user's current location and user's interest area through the wireless internet. This location information is acquired by the location determination technology. The geographic information created with the location information is represented on the screen of a portable device.[7],[8]. In this paper, we propose to use man's geographic recognition in addition to a GPS for mapping objects. With the help of man's ability of recognizing placement of objects and geographical relations between objects, location information given by a GPS is effectively compensated and utilized. This method improves quality of a resulting map. 2. A Theoretical Review 2.1. Geographic recognition of human Human does not stop recognizing his/her environment including geographical environment. The way of recognition is different from a GPS that provides 2 numeric characters, latitude and longitude. Our research features the use of man’s geographic recognition to obtain geographical relationships between objects. Location information that is typical of human recognition is as follows:  Distance e.g. near, far  Direction e.g. up, down, right, left  Placement e.g. inside, outside, center Mobile Mapping Service using Scalable Vector Graphics on the Human Geographic Jin Suk Kang 1 , Yonghee You 1 , Mee Young Sung 1 , Taikyeong T. Jeong 2 , Jongan Park 3 1 Computer Science and Engineering., University of Incheon 2 Dept. of Communication Engineering., Myongji University 3 Dept. of Information & Communications Engineering, Chosun University {jskang01, yhinfuture, mysung}@incheon.ac.kr, ttjeong@mju.ac.kr, japark@chosun.ac.kr Seventh IEEE/ACIS International Conference on Computer and Information Science 978-0-7695-3131-1/08 $25.00 © 2008 IEEE DOI 10.1109/ICIS.2008.23 672