Spatial Data Model for Corporate Based on Google Maps Platform Iping Supriana Suwardi Sekolah Teknik Elektro & Informatika Institut Teknologi Bandung Bandung, Indonesia iping@informatika.org Dessi Puji Lestari Sekolah Teknik Elektro & Informatika Institut Teknologi Bandung Bandung, Indonesia dessipuji@informatika.org Dicky Prima Satya Sekolah Teknik Elektro & Informatika Institut Teknologi Bandung Bandung, Indonesia dicky@informatika.org Abstract— Spatial data wrapped and processed by an application known as Geographic Information Systems (Geographical Information System / GIS). In desktop based GIS, the spatial information services only occurs when a variety of basic data has been loaded into the applications database. The real challenge for corporate is how to create a GIS that smart, secure, and relatively low cost. It is a real difficulty for a corporate to build such system, because they have to supply the basic data, their specific data, and define the relation. The development of information technology has provide ready to access, worldwide scale, web based mapping system, like Google Maps. Google Maps already provides the basic spatial information. By using Google Maps as basic and background information layer, corporates can focus on their specific spatial data layer on top of it. The main study of this research is to provide a way to create smart, secure, and relatively low cost geographic information services for corporate by utilizing basic spatial data provided by Google Maps. The paper highlight our first step in creating the system by proposing a new model of corporate spatial data management based on Googgle Maps platform. Keywords—geographical information system, spatial data model, mapping system I. INTRODUCTION Modern technology now permits improved acquisition, distribution, and utilization of geographic or geospatial data (Craglia, 2006). There are many popular web based mapping technology. By using the technology, people are able to get any information based on earth coordinates. The technology are very sufficient for personal and daily use, but there is a need to utilize it for corporate or governmental data needs. Geospatial information is critical to promote economic development and improve stewardship of natural resources. The use the mapping technology for corporate or governmental need will involve the preparation of the data and the relationship between geographic data in a very detailed level (e.g. to support the interests of plantation management, taxation, city layout, quality of roads, quality of rivers, etc.). Different corporate will have a different data needs, and different data representation. The real challenge for corporate is how to create a geographic information system that smart, secure, and relatively low cost. Smart system means that the system able to handle different data needs and different data representation. The user will provide information in a very simple way to the system. Secure system means the corporates do not have to give their data to other company or entities. The development of information technology has provide ready to access, worldwide scale, web based mapping system, like Google Maps. The addition of the information content to the map can also be done easily by any user into the system. Information added by these users may also be registered into Google Maps as information that can be read by any other users. So that a variety of important information that is needed by the public can be easily searched and known, for example the location of hospitals around the world, the location of government institutions, sports location or any location by contributing the data. This addition is very easy to do because Google Maps has provided the basic data, including country or region borders, roads with their name and class, rivers locations and their name, and so on. Voluminous geographic data have been, and continue to be, collected with modern tools or gadget like GPS or smartphone, location aware services, and crowdsourcing internet geospatial information. The scale of geospatial data is often too large and too unstructured with not enough relationship explanation. Until now, both the basic data provided by Google Maps or data that is added by users are loosely connected, meaning that there are minimum linkage between data. Thus, the data for greater benefit of a corporation or government where the data is closely related to each other still yet to be served. For example, State Electricity Company (PLN) needs to manage spatial data like electricity substation location, the location of electricity poles, wires between poles and the location of the customer. In other words, web based mapping system like Google Maps can not be utilized effectively for the sake of 978-1-4799-7996-7/14/$31.00 ©2014 IEEE 2014 International Conference on Data and Software Engineering 159