Linked Data is a new generation of Web technologies that is transforming the World Wide Web into a global data space. This synthesis lecture provides a detailed technical introduction to Linked Data, covering its principles, technologies, and applications. The Web has enabled the creation of a global information space, but there is a growing need for direct access to raw data not currently available on the Web. Linked Data offers a publishing paradigm in which data can be a first-class citizen of the Web, enabling the extension of the Web with a global data space based on open standards – the Web of Data. The lecture outlines the basic principles of Linked Data, including relevant aspects of Web architecture. It discusses the publication and consumption of Linked Data, providing guidance and best practices on architectural approaches, URI and vocabulary selection, data description, automated data linking, and testing and debugging. The lecture also gives an overview of existing Linked Data applications and examines the architectures used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. The book covers topics such as semantic web principles, key semantic web technologies and algorithms, semantic search and language technologies, the emerging "Web of Data" and its use in industry, government, and university applications, trust, social networking, and collaboration technologies for the Semantic Web, the economics of Semantic Web application adoption and use, publishing and science on the Semantic Web, and the Semantic Web in healthcare and life sciences. The book is intended for anyone who cares about data – using it, managing it, sharing it, interacting with it – and is passionate about the Web. It is suitable for data geeks, managers and owners of data sets, system implementors, and Web developers. It is also a reference point for courses that explore topics in Web development and data management. Established practitioners of Linked Data will find in this book a distillation of much of their knowledge and experience, and a reference work that can bring this to all those who follow in their footsteps.Linked Data is a new generation of Web technologies that is transforming the World Wide Web into a global data space. This synthesis lecture provides a detailed technical introduction to Linked Data, covering its principles, technologies, and applications. The Web has enabled the creation of a global information space, but there is a growing need for direct access to raw data not currently available on the Web. Linked Data offers a publishing paradigm in which data can be a first-class citizen of the Web, enabling the extension of the Web with a global data space based on open standards – the Web of Data. The lecture outlines the basic principles of Linked Data, including relevant aspects of Web architecture. It discusses the publication and consumption of Linked Data, providing guidance and best practices on architectural approaches, URI and vocabulary selection, data description, automated data linking, and testing and debugging. The lecture also gives an overview of existing Linked Data applications and examines the architectures used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. The book covers topics such as semantic web principles, key semantic web technologies and algorithms, semantic search and language technologies, the emerging "Web of Data" and its use in industry, government, and university applications, trust, social networking, and collaboration technologies for the Semantic Web, the economics of Semantic Web application adoption and use, publishing and science on the Semantic Web, and the Semantic Web in healthcare and life sciences. The book is intended for anyone who cares about data – using it, managing it, sharing it, interacting with it – and is passionate about the Web. It is suitable for data geeks, managers and owners of data sets, system implementors, and Web developers. It is also a reference point for courses that explore topics in Web development and data management. Established practitioners of Linked Data will find in this book a distillation of much of their knowledge and experience, and a reference work that can bring this to all those who follow in their footsteps.