Wikipedia, Flickr, You Tube, Facebook, LinkedIn are all examples of large community-built databases, although with quite diverse purposes and collaboration patterns. Their usage and dissemination will further grow introducing e.g. new semantics, personalization, or interactive media.Pardede delivers the first comprehensive research reference on community-built databases. The contributions discuss various technical and social aspects of research in and development in areas like in Web science, social networks, and collaborative information systems.Pardede delivers the first comprehensive research reference on community-built databases. The contributions discuss various technical and social aspects of research in and development in areas like in Web science, social networks, and collaborative information systems.
In Race After the Internet, Lisa Nakamura and Peter Chow-White bring together a collection of interdisciplinary, forward-looking essays exploring the complex role that digital media technologies play in shaping our ideas about race. Contributors interrogate changing ideas of race within the context of an increasingly digitally mediatized cultural and informational landscape. Using social scientific, rhetorical, textual, and ethnographic approaches, these essays show how new and old styles of race as code, interaction, and image are played out within digital networks of power and privilege. Race After the Internet includes essays on the shifting terrain of racial identity and its connections to social media technologies like Facebook and MySpace, popular online games like World of Warcraft, YouTube and viral video, WiFi infrastructure, the One Laptop Per Child (OLPC) program, genetic ancestry testing, and DNA databases in health and law enforcement. Contributors also investigate the ways in which racial profiling and a culture of racialized surveillance arise from the confluence of digital data and rapid developments in biotechnology. This collection aims to broaden the definition of the "digital divide" in order to convey a more nuanced understanding of access, usage, meaning, participation, and production of digital media technology in light of racial inequality. Contributors: danah boyd, Peter Chow-White, Wendy Chun, Sasha Costanza-Chock, Troy Duster, Anna Everett, Rayvon Fouché, Alexander Galloway, Oscar Gandy, Eszter Hargittai, Jeong Won Hwang, Curtis Marez, Tara McPherson, Alondra Nelson, Christian Sandvig, Ernest Wilson
In Beginning Big Data with Power BI and Excel 2013 , you will learn to solve business problems by tapping the power of Microsoft's Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps.While Beginning Big Data with Power BI and Excel 2013 covers prominent tools such as Hadoop and the NoSQL databases, it recognizes that most small and medium-sized businesses don't have the Big Data processing needs of a Netflix, Target, or Facebook. Instead, it shows how to import data and use the self-service analytics available in Excel with Power BI. As you'll see through the book's numerous case examples, these tools-which you already know how to use-can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects.Through instruction, insight, advice, and case studies, Beginning Big Data with Power BI and Excel 2013 will show you how to:Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources.Tapinto the analytical power of PivotTables and PivotCharts and developrelational data models to track trends and make predictions based on awide range of data.Understand basic statistics and use Excelwith PowerBI to do sophisticated statistical analysis-includingidentifying trends and correlations.Use SQL within Excel to do sophisticated queries across multiple tables, including NoSQL databases.Create complex formulas to solve real-world business problems using Data Analysis Expressions (DAX).
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Lock down next-generation Web services 'This book concisely identifies the types of attacks which are faced daily by Web 2.0 sites, and the authors give solid, practical advice on how to identify and mitigate these threats.' --Max Kelly, CISSP, CIPP, CFCE, Senior Director of Security, Facebook Protect your Web 2.0 architecture against the latest wave of cybercrime using expert tactics from Internet security professionals. Hacking Exposed Web 2.0 shows how hackers perform reconnaissance, choose their entry point, and attack Web 2.0-based services, and reveals detailed countermeasures and defense techniques. You'll learn how to avoid injection and buffer overflow attacks, fix browser and plug-in flaws, and secure AJAX, Flash, and XML-driven applications. Real-world case studies illustrate social networking site weaknesses, cross-site attack methods, migration vulnerabilities, and IE7 shortcomings. Plug security holes in Web 2.0 implementations the proven Hacking Exposed way Learn how hackers target and abuse vulnerable Web 2.0 applications, browsers, plug-ins, online databases, user inputs, and HTML forms Prevent Web 2.0-based SQL, XPath, XQuery, LDAP, and command injection attacks Circumvent XXE, directory traversal, and buffer overflow exploits Learn XSS and Cross-Site Request Forgery methods attackers use to bypass browser security controls Fix vulnerabilities in Outlook Express and Acrobat Reader add-ons Use input validators and XML classes to reinforce ASP and .NET security Eliminate unintentional exposures in ASP.NET AJAX (Atlas), Direct Web Remoting, Sajax, and GWT Web applications Mitigate ActiveX security exposures using SiteLock, code signing, and secure controls Find and fix Adobe Flash vulnerabilities and DNS rebinding attacks
This is a complete revision with new material of the second edition of Social Sciences Research: Research, Writing, and Presentation Strategies for Students (Scarecrow Press, 2008). There have been significant changes in the research process in the social sciences since the second edition of this text was published in 2008 - a decade ago. The plethora of new information technologies (e.g., smart phones, tablets, apps, etc.); the information overload not only on the Internet where anyone can publish, but also with the explosion of social media (e.g., Twitter, Facebook, Instagram, etc.); as well as the far reaching changes in databases and other sources of electronic information that is available. Complementing the manual are appendixes consisting of a list of possible research questions, an example paper, a complete set of worksheets, and blank citation forms to be used to record references, which provide further practice for students. In this third edition, the author has included more instruction on searches using electronic sources as well as new formatting guidelines that have been promulgated in the past several years. The ideal resource for college students, this manual addresses the finer points of research and writing that are not given enough instruction in the classroom.
Find the Information You Need is designed for the person who suspects that Google and Facebook aren't always giving them the best results for their specific information needs. Created for anyone who wants to understand how to select better information resources, deploy smarter search strategies, and evaluate results more effectively, Find the Information You Need provides: oconcrete exercises demonstrating successful queries on a variety of topics; oclear explanations of search techniques and when to use them; odescriptions of the different types of information resources available including commercial databases, digital libraries, and open-access repositories; and ohelpful advice about evaluating and organizing search results. No existing book offers what Find the Information You Need does: a plain-language text that teaches the layperson--the end-user--what information brokers, competitive intelligence professionals, and librarians know about finding authoritative information. A key advantage of this handbook is its arrangement. Students in an information discovery course can work through the book in a linear fashion from beginning to end. Others can dip into the text at any point that serves their needs. It someone is only interested in figuring out the best non-profit for their donations of money and time, they can use the chapter presenting exercises and explanations for exactly that kind of search. If they're intrigued by the exercises, they can use the chapters explaining the more technical side of information organization and access to learn more. Find the Information You Need is organized into two main sections. Section I, Make It Work, helps the become a better searcher right away by supplying practical exercises to try. The six chapters in Section I focus on concrete steps to take for results and gives only as much explanation as needed to prevent confusion. The six chapters in Section II, How and Why It Works, provide technical details and explanations of search systems and retrieval methods. Three appendices present carefully selected web-based resources where readers can find information for a broad swath of subjects. Appendix I focuses on commercial databases accessible from state library websites, at no charge to residents of the respective states. Appendix II lists freely available encyclopedias including not only Wikipedia but many others that are more focused and more authoritative. Appendix III provides links to a variety of information resources including health-related data and guidance from U.S. government agencies, huge digital libraries from major educational institutions, and other troves of knowledge treasures. Find the Information You Need can be used by high school and college students undertaking research assignments. But it treats such assignments as a quest for information that anyone in the real world of business, government, the sciences, journalism, and other fields might undertake. As a result, anyone wanting to go beyond the usual web search engine and the biases built into its algorithms can use the book to learn specific, sophisticated resources and techniques not only to search, but to also actually find useful, authoritative information.
A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can 'understand' such data better, which can be useful for task automation. The web sites that provide semantics (meaning) to software agents form the Semantic Web, the Artificial Intelligence extension of the World Wide Web. In contrast to the conventional Web (the 'Web of Documents'), the Semantic Web includes the 'Web of Data', which connects 'things' (representing real-world humans and objects) rather than documents meaningless to computers. Mastering Structured Data on the Semantic Web explains the practical aspects and the theory behind the Semantic Web and how structured data, such as HTML5 Microdata and JSON-LD, can be used to improve your site&#8217;s performance on next-generation Search Engine Result Pages and be displayed on Google Knowledge Panels. You will learn how to represent arbitrary fields of human knowledge in a machine-interpretable form using the Resource Description Framework (RDF), the cornerstone of the Semantic Web. You will see how to store and manipulate RDF data in purpose-built graph databases such as triplestores and quadstores, that are exploited in Internet marketing, social media, and data mining, in the form of Big Data applications such as the Google Knowledge Graph, Wikidata, or Facebook&#8217;s Social Graph.With the constantly increasing user expectations in web services and applications, Semantic Web standards gain more popularity. This book will familiarize you with the leading controlled vocabularies and ontologies and explain how to represent your own concepts. After learning the principles of Linked Data, the five-star deployment scheme, and the Open Data concept, you will be able to create and interlink five-star Linked Open Data, and merge your RDF graphs to the LOD Cloud. The book also covers the most important tools for generating, storing, extracting, and visualizing RDF data, including, but not limited to, Protégé, TopBraid Composer, Sindice, Apache Marmotta, Callimachus, and Tabulator. You will learn to implement Apache Jena and Sesame in popular IDEs such as Eclipse and NetBeans, and use these APIs for rapid Semantic Web application development. Mastering Structured Data on the Semantic Web demonstrates how to represent and connect structured data to reach a wider audience, encourage data reuse, and provide content that can be automatically processed with full certainty. As a result, your web contents will be integral parts of the next revolution of the Web.
In Race After the Internet, Lisa Nakamura and Peter Chow-White bring together a collection of interdisciplinary, forward-looking essays exploring the complex role that digital media technologies play in shaping our ideas about race. Contributors interrogate changing ideas of race within the context of an increasingly digitally mediatized cultural and informational landscape. Using social scientific, rhetorical, textual, and ethnographic approaches, these essays show how new and old styles of race as code, interaction, and image are played out within digital networks of power and privilege. Race After the Internet includes essays on the shifting terrain of racial identity and its connections to social media technologies like Facebook and MySpace, popular online games like World of Warcraft, YouTube and viral video, WiFi infrastructure, the One Laptop Per Child (OLPC) program, genetic ancestry testing, and DNA databases in health and law enforcement. Contributors also investigate the ways in which racial profiling and a culture of racialized surveillance arise from the confluence of digital data and rapid developments in biotechnology. This collection aims to broaden the definition of the 'digital divide' in order to convey a more nuanced understanding of access, usage, meaning, participation, and production of digital media technology in light of racial inequality. Contributors: danah boyd, Peter Chow-White, Wendy Chun, Sasha Costanza-Chock, Troy Duster, Anna Everett, Rayvon Fouché, Alexander Galloway, Oscar Gandy, Eszter Hargittai, Jeong Won Hwang, Curtis Marez, Tara McPherson, Alondra Nelson, Christian Sandvig, Ernest Wilson