Abstract
A reference database of addressing is an important resource for urban applications. The efficiency of an addressing system depends on both data quality and technical architecture. Data must respect a standard model that is flexible to meet different cases in the field. The technical architecture should be service oriented to offer a shared resource for multiple users and applications. This paper is to develop an addressing model for Morocco that extends Davis’s and Fonseca’s model presented in their work on the certainty of locations produced by an address geocoding system. We discuss the addressing data dictionary and acquisition plan in Morocco, revealing a diversified data management environment, characterized by multiple sources and actors. As a novelty in the field of GIS, we establish our technical architecture around cloud computing, according Service Oriented Application (SOA) standards. Our approach is based on the three pillars of cloud computing which are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a service (IaaS).
Highlights
Addresses are necessary information for both individuals and organizations
Our approach is based on the three pillars of cloud computing which are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a service (IaaS)
We presented a historical view on addresses and demonstrated the need for standardization efforts to create a common ground for addressing work in Morocco
Summary
Addresses are necessary information for both individuals and organizations. They are the main key for located events and phenomena analysis [1]: about 80% of the information local authorities use have a geographic locations, and most of those are related to addresses [2,3]. We propose a conceptual schema for addressing database that is flexible enough to accommodate the different cases observed in the field. It extends the notion of a postal address to include more common references such as popular names for places and buildings. This approach extends Davis’s and Fonseca’s [1] work on the certainty of locations produced by an address geocoding system, and Simpson’s and Yu’s [10] work on postal codes. We establish our technical architecture around cloud computing, which is an innovation in the GIS and urban applications [11]
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