– Establishment of a system for collecting, retrieving, and analyzing administrative data that can be used jointly without departmental partitions
– Implementation of user-friendly predictive administration through natural language-based data search and artificial intelligence analysis
– Expected to realize data-based administration through virtual convergence view of population and maximize utilization of policies such as economy and housing
□ The Seoul Metropolitan Government announced on the 2th that it will start the construction of an 'artificial intelligence-based big data service platform (28nd stage)' that can be used jointly without divisional divisions and can be easily understood and used by non-specialists.
□ This project is the second phase of the project following the construction of the 'Big Data Integrated Storage', which was carried out until '21.
□ Seoul Population Hall, which not only implements a natural language-based search service and artificial intelligence-based analysis environment, but also displays data necessary for population policy decision-making based on virtual convergence and geographic information system (GIS) so that anyone can easily search and utilize data aims to build
○ In the first phase of the project conducted until '21, the Seoul Metropolitan Government has built a 'big data integrated storage' that stores and analyzes administrative data owned by the city and city data collected from IoT sensors in one place.
○ The second phase of this year's project will utilize the big data integrated storage infrastructure built in the first phase and additionally collect administrative data and external data to derive highly useful datasets.
○ The project will be implemented over 28 months, starting with a discussion on the purpose of the project and detailed directions for implementation at the initiation report on the 8th.
< Big data service platform target system configuration diagram >
□ In this project, the city of Seoul collects large-scale administrative data and external data owned by the city to compose a dataset, and to improve the usability of the dataset, it develops methods for searching, sharing, downloading, and using datasets to advance the metadata search system. will do
○ The city will develop the tentative name 'Seoul Data 12' by selecting 218 data required for Seoul's 2030 policies in each field out of 30 system data in 300 administrative classifications.
○ At the same time, statistics Korea data such as living population, living mobility, and resident registration population that will be used in the virtual convergence-based population center and KT communication data are linked and collected.
□ In addition, the city will develop a data search service based on natural language so that the collected big data can be searched conveniently in a conversational format. To this end, we plan to build a training dataset and design a step-by-step scenario for query processing. We implement a dialogue service system that inquires big data based on the processing results of the natural language processing engine (NLP) learned as learning data.
□ Along with this, an artificial intelligence analysis platform that analyzes the collected administrative and external data will be built to implement predictive administration, and joint use of AI algorithms and datasets developed by the city will be promoted.
□ The artificial intelligence analysis platform introduced by the city is an AI integrated development platform that can easily and quickly manage AI services based on learning and developing various AI algorithms and deep learning technology. The city plans to develop a service that predicts population changes in Seoul by using data such as resident registration population, living population, and life movement on the platform.
○ For example, it can be used in policies to improve residential environment such as adding medical facilities, improving residential slopes, and improving public transportation services by predicting areas with high concentrations of the elderly population, or predicting areas with high density of young people and using them in housing and welfare service policies.
□ In addition, the Seoul Metropolitan Government will develop the Seoul Population Center based on the geographic information system (GIS) and virtual convergence to further vitalize the use of data.
○ Population view is a system that can time-series (past, present, future) data required for population-related policy decision-making in the 3D animation metaverse space.
○ Population Hall plans to further increase utilization by supporting space entry in various device environments such as PC, mobile, and VR-display devices.
□ Starting with the construction of the Seoul Population Center this year, the city will expand the virtual convergence space developed for each policy theme, such as the Economics Hall, Housing Hall, and Seoul Survey Hall next year. Through this, it is expected that the added value of related data for each policy will be created and that data-based policy decision-making will be further activated.
□ Park Jong-soo, Seoul Smart City Policy Officer, said, “This project introduces new technologies such as artificial intelligence, big data, and virtual convergence to create a big data service platform that anyone can easily understand and use. “It is expected that the creation of administrative services more closely related to the lives of Seoul citizens will be further accelerated through this project,” he said.
Note 1
Implementation of interactive search service based on natural language processing engine
Note 2
Seoul Population Hall Implementation Case (Example)
Note XNUMX
Population Sector Prediction Service Implementation Example (Example)
