Abstract

AbstractThe provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.

Highlights

  • The ongoing digitization leads to a growing availability of real-time or very frequently updated data sources

  • The implementation is available as open source12, which supports a broad application in the Open Data domain

  • In this paper we have presented Ronda, an open source solution for gathering, processing and publishing real-time Open Data

Read more

Summary

Introduction

The ongoing digitization leads to a growing availability of real-time or very frequently updated data sources. This process is supported by the increasing adoption of smart devices and the growth of the Internet of things. Many of these original data sources are strongly connected to public organizations and administrations, such as urban, energy, transportation, or environment data. Plenty of such data will be and is supposed to be available as Open Data.

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call