The past ten years have seen a rapid growth in the numbers of people signing up to use Web-based social networks (hundreds of millions of new members are now joining the main services each year) with a large amount of content being shared on these networks (tens of billions of content items are shared each month). With this growth in usage and data being generated, there are many opportunities to discover the knowledge that is often inherent but somewhat hidden in these networks. Web mining techniques are being used to derive this hidden knowledge. In addition, the Semantic Web, including the Linked Data initiative to connect previously disconnected datasets, is making it possible to connect data from across various social spaces through common representations and agreed upon terms for people, content items, etc. In this book, we detail some current research being carried out to semantically represent the implicit and explicit structures on the Social Web, along with the techniques being used to elicit relevant knowledge from these structures, and we present the mechanisms that can be used to intelligently mesh these semantic representations with intelligent knowledge discovery processes. We begin this book with an overview of the origins of the Web, and then show how web intelligence can be derived from a combination of web and Social Web mining. We give an overview of the Social and Semantic Webs, followed by a description of the combined Social Semantic Web (along with some of the possibilities it affords), and the various semantic representation formats for the data created in social networks and on social media sites. Provenance and provenance mining is an important aspect here, especially when data is combined from multiple services. We will expand on the subject of provenance and especially its importance in relation to social data. We will describe extensions to social semantic vocabularies specifically designed for community mining purposes (SIOCM). In the last three chapters, we describe how the combination of web intelligence and social semantic data can be used to derive knowledge from the Social Web, starting at the community level (macro), and then moving through group mining (meso) to user profile mining (micro). Table of Contents: Acknowledgments / Grant Aid / Introduction and the Web / Web Mining / The Social Web / The Semantic Web / The Social Semantic Web / Social Semantic Web Mining / Social Semantic Web Mining of Communities / Social Semantic Web Mining of Groups / Social Semantic Web Mining of Users / Conclusions / Bibliography / Authors' Biographies
Salmon P. Chase was one of the preeminent men of 19th-century America. A majestic figure, tall and stately, Chase was a leader in the fight to end slavery, a brilliant administrator who as Lincoln's Secretary of the Treasury provided crucial funding for a vastly expensive war, the Chief Justice of the Supreme Court during the turmoil of Reconstruction, and the presiding officer of the impeachment trial of President Andrew Johnson. Yet he was also a complex figure. As John Niven reveals in this magisterial biography, Chase was a paradoxical blend of idealism and ambition. If he stood for the highest moral purposes--the freedom and equality of all mankind--these lofty ideas failed to mask a thirst for power so deeply ingrained in his character that it drove away many who shared his principles, but mistrusted his motives. Niven provides a vivid description of Chase's early years--his childhood in New Hampshire (where his father's failed business venture and early death left the family all but destitute) and in Ohio (where he was sent to live with his uncle Philander, an Episcopal bishop), his education at Dartmouth, and his early law career in Cincinnati. Niven shows how the plight of the slaves stirred this reticent young lawyer, and how Chase gradually moved to the forefront of the antislavery movement. At the same time, we see how he used his growing prominence in the antislavery movement to forward his political ambitions. Niven illuminates Chase's long tenure as a public man. Twice elected United States Senator, twice chosen governor of Ohio (then the third most populous state in the Union), Chase organized the widespread but diffuse anti-slavery movement into a workable political organization, the Free Soil party (whose slogan "Free Soil, Free Labor, Freemen" Chase coined himself). We read of Chase's work in Lincoln's war cabinet and his tenure as Chief Justice of the Supreme Court, and we also follow his many political maneuvers, his attempts to undercut rivals, and his poorly run campaigns for presidential nominations. Niven also provides an intimate portrait of Chase's family life--his loss of three wives and four of his six children, and the unfortunate marriage of his beautiful daughter Kate to a rich but dissolute man--and a vivid picture of life at mid-century. What emerges is a portrait of a tragic figure, whose high qualities of heart and mind and whose many achievements were ultimately tarnished by an often unseemly quest for power. It is a striking look at an eminent statesman as well as a revealing glimpse into political life in 19th-century America, all set against a background of the anti-slavery movement, the Civil War, and the turmoil of Reconstruction.
The past ten years have seen a rapid growth in the numbers of people signing up to use Web-based social networks (hundreds of millions of new members are now joining the main services each year) with a large amount of content being shared on these networks (tens of billions of content items are shared each month). With this growth in usage and data being generated, there are many opportunities to discover the knowledge that is often inherent but somewhat hidden in these networks. Web mining techniques are being used to derive this hidden knowledge. In addition, the Semantic Web, including the Linked Data initiative to connect previously disconnected datasets, is making it possible to connect data from across various social spaces through common representations and agreed upon terms for people, content items, etc. In this book, we detail some current research being carried out to semantically represent the implicit and explicit structures on the Social Web, along with the techniques being used to elicit relevant knowledge from these structures, and we present the mechanisms that can be used to intelligently mesh these semantic representations with intelligent knowledge discovery processes. We begin this book with an overview of the origins of the Web, and then show how web intelligence can be derived from a combination of web and Social Web mining. We give an overview of the Social and Semantic Webs, followed by a description of the combined Social Semantic Web (along with some of the possibilities it affords), and the various semantic representation formats for the data created in social networks and on social media sites. Provenance and provenance mining is an important aspect here, especially when data is combined from multiple services. We will expand on the subject of provenance and especially its importance in relation to social data. We will describe extensions to social semantic vocabularies specifically designed for community mining purposes (SIOCM). In the last three chapters, we describe how the combination of web intelligence and social semantic data can be used to derive knowledge from the Social Web, starting at the community level (macro), and then moving through group mining (meso) to user profile mining (micro).
The Social Web (including services such as MySpace, Flickr, last.fm, and WordPress) has captured the attention of millions of users as well as billions of dollars in investment and acquisition. Social websites, evolving around the connections between people and their objects of interest, are encountering boundaries in the areas of information integration, dissemination, reuse, portability, searchability, automation and demanding tasks like querying. The Semantic Web is an ideal platform for interlinking and performing operations on diverse person- and object-related data available from the Social Web, and has produced a variety of approaches to overcome the boundaries being experienced in Social Web application areas. After a short overview of both the Social Web and the Semantic Web, Breslin et al. describe some popular social media and social networking applications, list their strengths and limitations, and describe some applications of Semantic Web technology to address their current shortcomings by enhancing them with semantics. Across these social websites, they demonstrate a twofold approach for interconnecting the islands that are social websites with semantic technologies, and for powering semantic applications with rich community-created content. They conclude with observations on how the application of Semantic Web technologies to the Social Web is leading towards the "Social Semantic Web" (sometimes also called "Web 3.0"), forming a network of interlinked and semantically-rich content and knowledge. The book is intended for computer science professionals, researchers, and graduates interested in understanding the technologies and research issues involved in applying Semantic Web technologies to social software. Practitioners and developers interested in applications such as blogs, social networks or wikis will also learn about methods for increasing the levels of automation in these forms of Web communication.
Edited by the leaders in the fi eld, with chapters from highly renowned international researchers, this is the fi rst coherent overview of the latest in silicon nanomembrane research. As such, it focuses on the fundamental and applied aspects of silicon nanomembranes, ranging from synthesis and manipulation to manufacturing, device integration and system level applications, including uses in bio-integrated electronics, three-dimensional integrated photonics, solar cells, and transient electronics. The first part describes in detail the fundamental physics and materials science involved, as well as synthetic approaches and assembly and manufacturing strategies, while the second covers the wide range of device applications and system level demonstrators already achieved, with examples taken from electronics and photonics and from biomedicine and energy.
Sports Psychology is a popular area that has grown dramatically over the past few decades due to an increasing emphasis on the importance of psychology for athletic performance, engagement in exercise and in the business and industry of sport. This text is a concise, focussed overview of all the core concepts in sports psychology at both undergraduate and postgraduate level. Using key studies and evidence, this book explains and develops key topics, and acts as a springboard for further reading and debate. This is a stimulating and practical resource for sport and exercise students, sport coaches, and athletes alike, covering new developments within the field including: Social Identity Theory, Mental Health Awareness in Sport, Resilience and Mindfulness. With additional pedagogy including further reading, figures and diagrams to help visualise key theories, and case studies, Understanding Sport Psychology is essential reading for any student of sport psychology.
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