Modelling information curation platform to improve efficiencies of smart public services
| Autor: | Mi-yun Kim |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Service (business)
Engineering Knowledge management 010504 meteorology & atmospheric sciences Data curation business.industry Geography Planning and Development 0211 other engineering and technologies Context (language use) 02 engineering and technology 01 natural sciences Field (computer science) Computer Science Applications Artificial Intelligence Order (business) Smart city Computers in Earth Sciences Basic service business 021101 geological & geomatics engineering 0105 earth and related environmental sciences Utilization |
| Zdroj: | Spatial Information Research. 25:735-747 |
| ISSN: | 2366-3294 2366-3286 |
| DOI: | 10.1007/s41324-017-0131-5 |
| Popis: | Recently, location-based service have been developed and provided for living in accordance with the policy of opening public data. In addition, the use of data for solving social problems such as medical care, welfare, safety, traffic and aging is gradually spreading to various fields. Currently, a large amount of public data is analyzed to catch the current situation and develop actively various services utilizing it. However, it is focused on the study of curation method. Service technology and medium and there is very passive to use information of surrounding contexts for information utilization. And there is no systematic consideration of the relationship between different fields. In this paper, we propose a methodology to improve the value of data by networking public data related to the general or related context, as well as professional data in each field necessary for building the ultimate smart city. Especially, in order to improve the basic service infrastructure for smart city, we present the concept of smart information curation as a method to deduce the connection or association between data and to extract related elements for smart public services. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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