Titlebook: Big Data in Bioeconomy; Results from the Eur Caj Södergård,Tomas Mildorf,Christian Zinke-Wehlma Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if applica

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书目名称Big Data in Bioeconomy影响因子(影响力)




书目名称Big Data in Bioeconomy影响因子(影响力)学科排名




书目名称Big Data in Bioeconomy网络公开度




书目名称Big Data in Bioeconomy网络公开度学科排名




书目名称Big Data in Bioeconomy被引频次




书目名称Big Data in Bioeconomy被引频次学科排名




书目名称Big Data in Bioeconomy年度引用




书目名称Big Data in Bioeconomy年度引用学科排名




书目名称Big Data in Bioeconomy读者反馈




书目名称Big Data in Bioeconomy读者反馈学科排名

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ng more efficient and sustainable.Shows how common software .This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm a

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Kleene Languages and Finite Automata which purpose. These associated features make the data more interpretable and assist in turning it into useful information. This chapter briefly introduces the concepts of metadata and Linked Data—highly structured and interlinked data, their standards and their usages, with some elaboration on the role of Linked Data in bioeconomy.

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Lenore E. A. Walker,David L. Shapiro. Next, we present an overview of representative software technologiesfor efficiently describing, storing, querying and accessing Earth Observation datasets. The chapter concludes with a summary of the Earth Observation datasets used in each DataBio pilot.

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Clinical Assessment in Forensic Settingssualize SensLog data. SensLog data model builds on the Observations & Measurements conceptual model from ISO 19156 and includes additional sections, e.g., for user authentication or volunteered geographic information (VGI) collection. It uses PostgreSQL database with PostGIS for data storage and several API endpoints.

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https://doi.org/10.1007/978-3-662-03809-3ese pipelines is to automate as much as possible the process to transform and publish different input datasets as Linked Data. In this chapter, we describe these pipelines and how they were applied to support different uses cases in the project, including the tools and methods used to implement them.

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Remote Sensing. Next, we present an overview of representative software technologiesfor efficiently describing, storing, querying and accessing Earth Observation datasets. The chapter concludes with a summary of the Earth Observation datasets used in each DataBio pilot.

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Crowdsourced Datasualize SensLog data. SensLog data model builds on the Observations & Measurements conceptual model from ISO 19156 and includes additional sections, e.g., for user authentication or volunteered geographic information (VGI) collection. It uses PostgreSQL database with PostGIS for data storage and several API endpoints.