Linked

An unforgettable novel from the New York Times bestseller Gordon Korman Link, Michael, and Dana live in a quiet town. But it's woken up very quickly when someone sneaks into school and vandalizes it with a swastika. Nobody can believe it. How could such a symbol of hate end up in the middle of their school? Who would do such a thing? Because Michael was the first person to see it, he's the first suspect. Because Link is one of the most popular guys in school, everyone's looking to him to figure it out. And because Dana's the only Jewish girl in the whole town, everyone's treating her more like an outsider than ever. The mystery deepens as more swastikas begin to appear. Some students decide to fight back and start a project to bring people together instead of dividing them further. The closer Link, Michael, and Dana get to the truth, the more there is to face-not just the crimes of the present, but the crimes of the past. With Linked, Gordon Korman, the author of the acclaimed novel Restart, poses a mystery for all readers where the who did it? isn't nearly as important as the why?

Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web.

Greg and Steve were struggling to survive. Same age, same height, same grade-- they could have been identical twins, but they were not. Yet they lived in the same imperfect world with overwhelming family problems. They lived in different homes. They had different personalities. One was black and the other was white, and they had switched!

This book provides a detailed and comprehensive synthesis of the literature on growth-linked securities, which are an equity-like method of financing for sovereigns. Based on an idea introduced by Shiller (1993), these securities enjoy growing intellectual support. Momentum in favour of them in policy circles has increased since the global financial crisis of 2007-9 and the subsequent debt crisis in Europe in 2010. This book covers many issues on the topic. After surveying the history of the idea and past experiences of countries that issued growth-linked warrants, chapters examine the pros and cons of this financial instrument from the point of view of issuers and investors. The book also discusses technical issues preventing the broad issuance of growth-linked securities and provides solutions to foster their acceptance by market participants.

The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with each other to generate network effects. The general trend of providing data online is thus accompanied by newly developing methodologies to interconnect linguistic data and metadata. This includes linguistic data collections, general-purpose knowledge bases (e.g., the DBpedia, a machine-readable edition of the Wikipedia), and repositories with specific information about languages, linguistic categories and phenomena. The Linked Data paradigm provides a framework for interoperability and access management, and thereby allows to integrate information from such a diverse set of resources. The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories. The book includes representative applications from diverse fields, ranging from academic linguistics (e.g., typology and corpus linguistics) over applied linguistics (e.g., lexicography and translation studies) to technical applications (in computational linguistics, Natural Language Processing and information technology). This volume accompanies the Workshop on Linked Data in Linguistics 2012 (LDL-2012) in Frankfurt/M., Germany, organized by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN). It assembles contributions of the workshop participants and, beyond this, it summarizes initial steps in the formation of a Linked Open Data cloud of linguistic resources, the Linguistic Linked Open Data cloud (LLOD).

This book is the first part of a two book series. It is based on a combination of Finance and IT. More precisely, it applies the concept of Linked Data (hence LD), which originates from the IT landscape, to the specifics of the financial world. LD is a new concept for efficient handling of data, which could be used for dealing with a complex data set and data structures, as well as Big Data. The focus of this book is on the adoption of LD and its application within financial business processes. First, LD is briefly explained and framed in the context of the financial services domain. Second, modeling the determinants of LD adoption needed a clear statement over its advantages and disadvantages, amongst others within the financial domain. Despite the high interest towards the LD concept, no such overview existed before this work. Fourth, the model on LD adoption is applied to business (financial) reporting, illustrated with the XBRL case. Finally, semi-structured interviews with financial experts reconfirm and extend the findings. The main potentials are described in detail.

The best-selling guide to network science, the revolutionary field that reveals the deep links between all forms of human social life A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. In Linked, Albert-Lálórabá, the nation's foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Barabá shows that grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos-Réi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabá-Albert model.