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, South Africa, India, Chile, and more. It provides a toolbox of successful freight transport model applications, alternative data collection;
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and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index;
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Semantic modeling in a formalized language provides a route towards the benefits of universal data exchange, data integration and;
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systems for digital revolution; manufacturing ecosystem and collaboration in Industry 4.0; big data analytics and intelligence; risk, performance;
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systems for digital revolution; manufacturing ecosystem and collaboration in Industry 4.0; big data analytics and intelligence; risk, performance;
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through collaboration in Agri-food 4.0; digital innovation hubs for digitalizing European industry; and collaborative networks for health and;
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of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases;
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in the European Aerospace industry. SEDRES is a three year project which started in January 1996, co-funded by an ESPRIT grant from the European;
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calibration and verification of these models using laboratory data, as well as, field data are also provided. The models are applied to a diverse;
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of the right data and the technology to extract business gold-but you still fail. The reason? Bad data semantics. In this practical and;
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Geographic Information using Semantic Web technologies and publishing it as Linked Data. They review the software tools currently available for;
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Maritime transport is the transport of people or goods by water. It is the backbone of world trade and globalization. Twenty-four hours a;
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Maritime transport is the transport of people or goods by water. It is the backbone of world trade and globalization. Twenty-four hours a;
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Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other;
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since the 1960's and more frequently in recent times. Numerical groundwater flow, transport, and geochemical models are important tools besides;
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technology. Applying the full potential of semantic web faces some obstacles as in how to link information from different data sources. Since;
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Goodhart at the London School of Economics and researchers at Olsen & Associates in Zurich, started to collect intra-daily exchange rate data;
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Goodhart at the London School of Economics and researchers at Olsen & Associates in Zurich, started to collect intra-daily exchange rate data;
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heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data;
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This book follows a cookbook style with recipes explaining the steps for developing analytic data using Business Intelligence Semantic;
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issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general;
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threats that ETFs bring to European financial markets Combines empirical data with a full, in-depth analysis of the topic and the special;
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needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data;
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Develop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models using DAX-the query;
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teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex data into;
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