This book constitutes the refereed proceedings of the First International Semantic Web Conference, ISWC 2002, held in Sardinia, Italy, in June 2002.The 27 revised full research papers, 6 position papers, and 7 system descriptions presented were carefully reviewed and selected from a total of 133 submissions. All current issues in this exciting new field are addressed, ranging from theoretical aspects to applications in various fields.

The Semantic Web is an idea of World Wide Web inventor Tim Berners Lee that the Web as a whole can be made more intelligent and perhaps even intuitive about how to serve a users needs. Although search engines index much of the Web s content, they have little ability to select the pages that a user really wants or needs. Berners Lee foresees a number of ways in which developers and authors, singly or in collaborations, can use self descriptions and other techniques so that the context understanding programs can selectively find what users want. "The Semantic Web: Crafting Infrastructure for Agency" presents a more holistic view of the current state of development and deployment. This is a comprehensive reference to the rapidly developing technologies, which are enabling more intelligent and automated transactions over the internet, and a visionary overview of the implications of deploying such a layer of infrastructure. It includes a through examination of the Semantic Web, including the following topics: web information management, languages and protocols, application and tools, and collaboration and agency. It is a unique volume of practical information, in depth analysis, conceptual overviews and contextual material from professionals in the field. It features appendices of technical terms and glossary, Semantic Web resources, intellectual property issues and lists of elements. This is essential reading for engineers, web developers and industry professionals wishing to enhance their knowledge of recent developments. Management staff, lecturers, postgraduate and undergraduate students will also find this book appealing.

What would you do if you found your own name on a hit list? Seddon addresses this terrifying question in an explosive novel. One of the most exciting, brave and clever books I have ever read. The Hit List is my book of the year. Gillian McAllister, author of How to Disappear This novel kept me guessing to the end. A twisty, intelligent thrill ride. Excellent! Will Dean, author of Black River This meticulously plotted novel will suck you ever deeper into its dark underbelly. Sinister, clever and utterly compelling. Lesley Kara, author of WHO DID YOU TELL? On the anniversary of her husband's accidental death, Marianne seeks comfort in everything Greg left behind. She wears his shirt and cologne, reads their love letters and emails. Soon she's following his footsteps across the web, but her desperation to cling to any trace of him leads her to the dark web. And a hit list with her name on it. To try to save herself from Sam, the assassin hired to kill her, Marianne must first unpick the wicked web in which Greg became tangled. Was Greg trying to protect her or did he want her dead? A gripping and emotional ebook bestseller about a woman who discovers a shocking secret about her late husband that will hook you from the first page 'Smart, twisty and totally compelling.' Jane Fallon 'Dark, twisty, beautifully written and very clever. Loved it!' Claire Douglas A beautifully written book that tackles complex issues on a very personal level. A dark, fast-paced thriller with a hard-hitting emotional impact. Nikki Smith, author of All In Her Head.

This book gives an overview of best effort data and real-time multipath routing protocols in WMSN. It provides results of recent research in design issues affecting the development of strategic multipath routing protocols that support multimedia data traffic in WMSN from an IoT perspective, plus detailed analysis on the appropriate traffic models.

This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application. Through a series of scenario-based examples, this book lets you explore several methods for creating a system that can accommodate growth and meet expected demand. In the process, you learn about several tools that can help you with replication, load balancing, clustering, and load testing and monitoring.Apply performance tips for tuning your database Replicate data, using Futon and CouchDB's RESTful interface Distribute CouchDB's workload through load balancing Learn options for creating a cluster of CouchDB nodes, including BigCouch, Lounge, and Pillow Conduct distributed load testing with Tsung

Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.

Offering an introduction to Cloud-based healthcare IT system, this timely book equips healthcare providers with the background necessary to evaluate and deploy Cloud-based solutions to today 's compliance and efficiency issues. Divided into three sections, it first discusses Cloud Service technologies and business models as well as the pros and cons of Cloud Services as compared to traditional in-house IT solutions. The second reviews applications in healthcare and a review of HIPAA and HITECH provisions. Finally, the book addresses the process of adopting Cloud solutions, including vendor evaluation, migration strategies, and managing transition risks. It concludes with a look at related topics and real-world case studies.

Although you don't need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you'll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools

If you're a developer looking to supplement your own data tools and services, this concise ebook covers the most useful sources of public data available today. You'll find useful information on APIs that offer broad coverage, tie their data to the outside world, and are either accessible online or feature downloadable bulk data. You'll also find code and helpful links.

This guide organizes APIs by the subjects they cover--such as websites, people, or places--so you can quickly locate the best resources for augmenting the data you handle in your own service. Categories include: Website tools such as WHOIS, bit.ly, and Compete Services that use email addresses as search terms, including Github Finding information from just a name, with APIs such as WhitePages Services, such as Klout, for locating people with Facebook and Twitter accounts Search APIs, including BOSS and Wikipedia Geographical data sources, including SimpleGeo and U.S. Census Company information APIs, such as CrunchBase and ZoomInfo APIs that list IP addresses, such as MaxMind Services that list books, films, music, and products

Create a MongoDB cluster that will to grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system.

"Scaling MongoDB" will help you: Set up a MongoDB cluster through sharding Work with a cluster to query and update data Operate, monitor, and backup your cluster Plan your application to deal with outages

By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.

Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.

Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing analyzes the web traffic for online promotion that includes search engine optimization and search engine marketing. After careful analysis of the nuances of the semantic web, of search engine optimization (SEO), and its practical set up, readers can put their best foot forward for SEO setup, link-building for SERP establishment, various methods with requisite algorithms, and programming codes with process inferences. The book offers comprehensive coverage of essential topics, including: * The concept of SEM and SEO * The mechanism of crawler program concepts of keywords * Keyword generation tools * Page ranking mechanism and indexing * Concepts of title, meta, alt tags * Concepts of PPC/PPM/CTR * SEO/SEM strategies * Anchor text and setting up * Query-based search While other books are focused on the traditional explanation of digital marketing, theoretical features of SEO and SEM for keyword set up with link-building, this book focuses on the practical applications of the above-mentioned concepts for effective SERP generation. Another unique aspect of this book is its abundance of handy workarounds to set up the techniques for SEO, a topic too often neglected by other works in the field. This book is an invaluable resource for social media analytics researchers and digital marketing students.

An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Using clear language and real-world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety in topics presented offers multiple perspectives on how to integrate the Internet of Things into pharmaceutical manufacturing. This book represents a useful resource for researchers in pharmaceutical sciences, information and communication technologies, and those who specialize in healthcare and pharmacovigilance.

Part technical and part theoretical, this practical guide to web typography helps designers understand how the typographic choices they make in layout and prototyping programs behave once they are turned into live code. Through a series of demos, this book teaches designers how to create typographic specific webpages by learning just enough HTML and CSS to be able to view the pages in different browsers, devices, and operating systems. With live webpages to evaluate, designers will learn how to test those pages for supported features and performance, ensuring font choices look as good in the browser as it does in their layout program, delivering a speedy experience to the users. Key Features Demonstrates the minimal amount of HTML and CSS necessary to be able to create webpages to see typographic choices in the browser. Discusses responsive design and how to evaluate and test those choices for performance and usability prior to front-end development. Demonstrates how to review your own typographic, image, and layout choices in the browser through a series of demos in the book.

User interface (UI) design rules and guidelines, developed by early HCI gurus and recognized throughout the field, were based on cognitive psychology (study of mental processes such as problem solving, memory, and language), and early practitioners were well informed of its tenets. But today practitioners with backgrounds in cognitive psychology are a minority, as user interface designers and developers enter the field from a wide array of disciplines. HCI practitioners today have enough experience in UI design that they have been exposed to UI design rules, but it is essential that they understand the psychological basis behind the rules in order to effectively apply them. In Designing with the Mind in Mind, best-selling author Jeff Johnson provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow.

If you want to use CouchDB to support real-world applications, you'll need to create MapReduce views that let you query this document-oriented database for meaningful data. With this short and concise ebook, you'll learn how to create a variety of MapReduce views to help you query and aggregate data in CouchDB's large, distributed datasets.

You'll get step-by-step instructions and lots of sample code to create and explore several MapReduce views through the course of the book, using an example database you construct. To work with these different views, you'll learn how to use the Futon web administration console and the cURL command line tool that come with CouchDB. Learn how the Map and Reduce steps work independently and together to index your data Use the example database to create several temporary views based on different criteria Discover the uses of Map and Reduce JavaScript functions Convert your temporary views to permanent views within a design document Learn several options for querying the data within your views Limit the number of results returned, skip some results, or reverse the order of the output Group your results by exact keys or by parts of keys

Bradley Holt, co-founder of the creative services firm Found Line, is a web developer and entrepreneur ten years of PHP and MySQL experience. He began using CouchDB before the release of version 1.0. Bradley is an active member of the PHP community, and can be reached at bradley-holt.com.

DESCRIPTION Users expect search to be simple: They enter a few terms and expect perfectly-organized, relevant results instantly. But behind this simple user experience, complex machinery is at work. Whether using Elasticsearch, Solr, or another search technology, the solution is never one size fits all. Returning the right search results requires conveying domain knowledge and business rules in the search engine's data structures, text analytics, and results ranking capabilities. Relevant Search demystifies relevance work. Using Elasticsearch, it tells how to return engaging search results to users, helping readers understand and leverage the internals of Lucene-based search engines. The book walks through several real-world problems using a cohesive philosophy that combines text analysis, query building, and score shaping to express business ranking rules to the search engine. It outlines how to guide the engineering process by monitoring search user behavior and shifting the enterprise to a search-first culture focused on humans, not computers. It also shows how the search engine provides a deeply pluggable platform for integrating search ranking with machine learning, ontologies, personalization, domain-specific expertise, and other enriching sources. KEY FEATURES Highly relevant, concrete, hands-on guide Digs deep into search engine technology Contains essential tools, tips, and strategies for building engaging search engines AUDIENCE For readers who can code moderately complex tasks. ABOUT THE TECHNOLOGY Lucene is the underlying technology that backs both Elasticsearch and Solr. Dominant search engines are based upon Lucene and since Lucene itself is based upon the strong foundation of Information Retrieval research, the book will be applicable to almost any search technology available now or in the foreseeable future.

This book constitutes the refereed proceedings of the 10th SIGSAND/PLAIS EuroSymposium 2017 titled Information Systems: Research, Development, Applications, and Education, held in Gdansk and Sopot, Poland, on September 27, 2017. The objective of the EuroSymposium on Systems Analysis and Design is to promote and develop high quality research on all issues related to analysis and design (SAND). It provides a forum for SAND researchers and practitioners in Europe and beyond to interact, collaborate, and develop their field. The 10 papers presented in this volume were carefully reviewed and selected from 45 submissions.They are organized in topical sections on data analytics, Web-based information systems, and information systems development.

The two-volume set LNCS 9981 and 9982 constitutes the refereed proceedings of the 15th International Semantic Web Conference, ISWC 2016, which was held in Kobe, Japan, in October 2016. The 75 full papers presented in these proceedings were carefully reviewed and selected from 326 submissions. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences. The Research Track solicited novel and significant research contributions addressing theoretical, analytical, empirical, and practical aspects of the Semantic Web. The Applications Track solicited submissions exploring the benefits and challenges of applying semantic technologies in concrete, practical applications, in contexts ranging from industry to government and science. The newly introduced Resources Track sought submissions providing a concise and clear description of a resource and its (expected) usage. Traditional resources include ontologies, vocabularies, datasets, benchmarks and replication studies, services and software. Besides more established types of resources, the track solicited submissions of new types of resources such as ontology design patterns, crowdsourcing task designs, workflows, methodologies, and protocols and measures.

Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size. Data Mesh in Action reveals how this ground breaking architecture looks for both small start-ups and large enterprises. You'll see a datamesh in action as you explore both an extended case study andmultiple real-world examples. As you go, you'll be expertly guidedthrough discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-productsystem.

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.

Recipient of the SJSU San Jose State University Annual Author & Artist Awards 2019 In modern times, all individuals need to be knowledgeable about cybersecurity. They must have practical skills and abilities to protect themselves in cyberspace. What is the level of awareness among college students and faculty, who represent the most technologically active portion of the population in any society? According to the Federal Trade Commission's 2016 Consumer Sentinel Network report, 19 percent of identity theft complaints came from people under the age of 29. About 74,400 young adults fell victim to identity theft in 2016. This book reports the results of several studies that investigate student and faculty awareness and attitudes toward cybersecurity and the resulting risks. It proposes a plan of action that can help 26,000 higher education institutions worldwide with over 207 million college students, create security policies and educational programs that improve security awareness and protection. Features Offers an understanding of the state of privacy awareness Includes the state of identity theft awareness Covers mobile phone protection Discusses ransomware protection Discloses a plan of action to improve security awareness

The Annual Asian Semantic Web Conference is one of the largest regional events in Asia with focused topics related to the Semantic Web. With the decade-round endeavor of Semantic Web believers, researchers and practitioners, the Semantic Web has made remarkable progress recently. It has raised significant attention from US and UK governments, as well as the European Commission who are willing to deploy Semantic Web technologies to enhance the transparency of eGovernment. The Linked Open Data initiative is on its way to convert the current document Web into a data Web and to further enabling various data and service mashups. The fast adoption of Semantic Web technologies in medical and life sciences has created impressive showcases to the world. All these efforts are a crucial step toward enabling the take-off and the success of the Semantic Web. The First Asian Semantic Web Conference was successfully held in China in 2006. With the following editions in Korea in 2007 and Thailand in 2008, it fostered a regional forum for connecting researchers and triggering innovations. This year, the 4th Asian Semantic Web Conference was held in Shanghai, China. We received 63 submissions from Asia, Europe, and North America, and 25 papers were accepted (the acceptance rate is around 40%). Each submission was reviewed by at least three members of the Program Committee. The Chairs moderated the discussion of conflict reviews or invited external reviewers to reach the final decisions.

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data.