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The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including cov...
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On visits to his bank, Mark becomes attracted to a recently hired teller. He works up the courage to invite her out for dinner and learns that it is not a good idea because of a long-standing difficulty between their fathers. He begins to ask questions of others in his Christian association who might help him understand why events from years past now impinge on his own life. His father is sorely displeased with the opening of old wounds and rebukes him sharply for his pursuit of “forbidden fruit.” The story—with overtones from the houses of Montague and Capulet—evolves from here.
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In Outraged, an auto insider provides an inspiring account of what it means to lose your rights, property, and, in essence, the American dream. It begins with roughly two thousand men and women whose companies were destroyed by two automakers, General Motors and Chrysler, during their government-led corporate restructurings in 2009. Authors Tamara Darvish, vice president of DARCARS Automotive in Maryland, and Lillie Guyer, a Detroit area automotive journalist, show the collapse of the American dream from the perspective of an entrepreneur who was affected by the automotive industry bailout. In this featurized business story, Outraged details the founding of the activist group Committee to Re...
The five central Asian States of Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan stand at the crossroads of world civilization. Influenced by South Asia, Iran, China and Russia, this region which has recently burst onto the world stage once again, guards a distinct identity. This collection by established experts on the area covers the dramatic Soviet interventions of the early twentieth century, and details the role of ethnicity and the contribution made by Islamic impulses in the process of building the modern nation states.
This book is an ethnographic account of San Francisco’s most inner city neighborhood, the Tenderloin. Using its streets as campus and its people as teachers, Stannard-Friel uses storytelling as a way of explaining why inner city social problems, such as homelessness, drugs, prostitution, untreated mental illness, and death of young people by murders and suicides, exist and persist there. The work delves into who lives in the Tenderloin and why, the role of dedicated service providers in meeting people’s needs and encouraging social change, and what lessons university students, many coming from their own challenging backgrounds, learn through community engagement and service learning that encourage understanding, compassion, and meaningful contributions to society. The work also explores how life in the area is changing, and why so many youth report that they “love living in the Tenderloin.”
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.
Owners impose usage restrictions on their information, which can be based e.g. on privacy laws, copyright law or social conventions. Often, information is processed in complex constellations without central control. In this work, we introduce technologies to formally express usage restrictions in a machine-interpretable way as so-called policies that enable the creation of decentralised systems that provide, consume and process distributed information in compliance with their usage restrictions.