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This talk will present ENIRISST, an intelligent research infrastructure for shipping, supply chain, transport and logistics, and will focus on the vision, the technologies and the lessons learned in the process. ENIRISST is a novel and fully extendable research infrastructure established in 2019 in Greece and focuses on providing a virtual environment that is realized in a fully extendable way to accommodate current and future extensions. Its goal is to become a widely acceptable, multi-purpose data analytics platform that will unify a wide variety of open data sources and enhance collaborations among different disciplines in the transportation sector. The talk will discuss the architecture that supports a bouquet of services including data cataloging, virtualization, analytics and visualization through the use of open source tools and is designed to become a unified data lake. The ENIRISST technologies involving both traditional and state-of-the-art solutions that include relational databases, noSQL solutions for big data analysis, machine learning suites, data lake engines for live interactive queries and analytics, and popular visualization components, will also be outlined. Subsequently, we will discuss the current status by highlighting currently supported services like national transport model simulations, pollution monitoring e- infrastructures, traffic safety training facilities and data repositories, maritime activity recording and marine/cruise tourism logging, crowdsourced infrastructure registers, multimodal travel advisors, decision support tools for shipping, electronic logistics observatories for freight, logistics and supply chain industries, and intermodal transport operation monitoring tools, and outline our vision on creating a live and growing ecosystem. Finally, we will demonstrate that by resorting to Big Data tools and technologies, ENIRISST has become a de facto center of excellence in south eastern Europe and the first research infrastructure in the fields of shipping and transport in Greece.
This talk will present ENIRISST, an intelligent research infrastructure for shipping, supply chain, transport and logistics, and will focus on the vision, the technologies and the lessons learned in the process. ENIRISST is a novel and fully extendable research infrastructure established in 2019 in Greece and focuses on providing a virtual environment that is realized in a fully extendable way to accommodate current and future extensions. Its goal is to become a widely acceptable, multi-purpose data analytics platform that will unify a wide variety of open data sources and enhance collaborations among different disciplines in the transportation sector. The talk will discuss the architecture that supports a bouquet of services including data cataloging, virtualization, analytics and visualization through the use of open source tools and is designed to become a unified data lake. The ENIRISST technologies involving both traditional and state-of-the-art solutions that include relational databases, noSQL solutions for big data analysis, machine learning suites, data lake engines for live interactive queries and analytics, and popular visualization components, will also be outlined. Subsequently, we will discuss the current status by highlighting currently supported services like national transport model simulations, pollution monitoring e- infrastructures, traffic safety training facilities and data repositories, maritime activity recording and marine/cruise tourism logging, crowdsourced infrastructure registers, multimodal travel advisors, decision support tools for shipping, electronic logistics observatories for freight, logistics and supply chain industries, and intermodal transport operation monitoring tools, and outline our vision on creating a live and growing ecosystem. Finally, we will demonstrate that by resorting to Big Data tools and technologies, ENIRISST has become a de facto center of excellence in south eastern Europe and the first research infrastructure in the fields of shipping and transport in Greece.
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