A multi-agent-based approach for address geocoding in poorly mapped areas through public company data

Abstract

In this study, we present an original method that enhances geocoding systems in poorly mapped areas thanks to public company data and a multi-agent system. In contrast with industrialized countries, many developing countries lack formal postal address systems assignments and usage, making the operation of translating text-based addresses to absolute spatial coordinates, known as geocoding, a big challenge. We recreated a standard of address as it is perceived and used by local people, a kind of non-official national address standard since there is no official one in these areas. Then, we designed a multi-agent system in which agents are assigned different tasks of geocoding process and can perform negotiation to achieve a global objective: find the best possible match or approximation of a location-based on current knowledge. Verification of the usefulness of the proposed approach is made in comparison with Google Geocoding API which shows that the proposed approach has great potential to geocode addresses considering local context semantic issues.

A Robust Unified Model for National Street Gazetteer Based on Land Register and Gis for the Republic of Kosovo

“…Data scarcity on road networks is a considerable roadblock towards rapid street gazetteer modernization which was solved in Ghana using service data of a service known as Trotro to provide more representative road networks (Dumedah and Eshun, 2020). Utilization of the approach of multiagent-based addressing provides an architectural framework that shows high potential for modernization applications (Kebe, Faye and Lishou, 2021). There is considerable capacity in Pristina for data consolidation and utilization.…”