Web and Big Data Part II, Lei Chen; Christian S. Jensen; Cyrus Shahabi; Xiao
Автор: Holmes, Dawn E. Название: BIG DATA ISBN: 0198779577 ISBN-13(EAN): 9780198779575 Издательство: Oxford Academ Рейтинг: Цена: 1767.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.
Автор: Leslie Sikos Название: Mastering Structured Data on the Semantic Web ISBN: 1484210506 ISBN-13(EAN): 9781484210505 Издательство: Springer Рейтинг: Цена: 4141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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'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'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, Prot g , 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.
Автор: Bahaaldine Azarmi Название: Scalable Big Data Architecture ISBN: 1484213270 ISBN-13(EAN): 9781484213278 Издательство: Springer Рейтинг: Цена: 3653.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.
Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications, which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution.
When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it's often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time.
This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on.
Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data.
Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.
Автор: Geng Название: Internet of Things and Data Analytics Handbook ISBN: 1119173647 ISBN-13(EAN): 9781119173649 Издательство: Wiley Рейтинг: Цена: 20742.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.
Автор: M.A Albrecht; D Egret Название: Databases & On-line Data in Astronomy ISBN: 9401054339 ISBN-13(EAN): 9789401054331 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data archiving has, for many years, been the most disregarded aspect of all data systems. Much of these data were and are not used on short timescales and (should) have been archived, where they can be used later and/or by others. At present there are a number of data collections and data retrieval systems.
Автор: Brian Blake; Liliana Cabral; Birgitta K?nig-Ries; Название: Semantic Web Services ISBN: 3642426646 ISBN-13(EAN): 9783642426643 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Including a useful overview of the latest research on implemented SWS technologies, this volume details a variety of current semantic service approaches and provides valuable material that will enhance future SWS evaluation methodologies and techniques.
Автор: Simone van der Hof; Bibi van den Berg; Bart Scherm Название: Minding Minors Wandering the Web: Regulating Online Child Safety ISBN: 9462650047 ISBN-13(EAN): 9789462650046 Издательство: Springer Рейтинг: Цена: 9756.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ensuring online safety has become a topic on the regulatory agenda in many Western societies.
Автор: Zongmin Ma; Fu Zhang; Li Yan; Jingwei Cheng Название: Fuzzy Knowledge Management for the Semantic Web ISBN: 3642392822 ISBN-13(EAN): 9783642392825 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the technologies and approaches of fuzzy logic in the Semantic Web. Coverage includes fuzzy description logics and fuzzy ontologies, fuzzy Semantic Web ontology mapping, and fuzzy rules and their interchange in the Semantic Web.
Название: Semantic web and web science ISBN: 1461468795 ISBN-13(EAN): 9781461468790 Издательство: Springer Рейтинг: Цена: 25491.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing.
Автор: Zhong Название: Wisdom Web of Things ISBN: 3319441965 ISBN-13(EAN): 9783319441962 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides a thorough overview of the Wisdom Web of Things (W2T), a holistic framework for computing and intelligence in an emerging hyper-world with a social-cyber-physical space. Fast-evolving Web intelligence research and development initiatives are now moving toward understanding the multifaceted nature of intelligence and incorporating it at the Web scale in a ubiquitous environment with data, connection and service explosion. The book focuses on the framework and methodology of W2T, as well as its applications in different problem domains, such as intelligent businesses, urban computing, social computing, brain informatics and healthcare.
From the researcher and developer perspectives, the book takes a systematic, structured view of various W2T facets and their overall contribution to the development of W2T as a whole. Written by leading international researchers, this book is an essential reference for researchers, educators, professionals, and tertiary HDR students working on the World Wide Web, ubiquitous computing, knowledge management, and business intelligence.
Автор: Greenberg Название: Knitting the Semantic Web ISBN: 078903591X ISBN-13(EAN): 9780789035912 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Semantic Web, extends the popular, day-to-day Web, enabling computers and people to effectively work together by giving information well-defined meaning. Knitting the Semantic Web explains the interdisciplinary efforts underway to build a more library-like Web through "semantic knitting." The book examines foundation activities and initiatives leading to standardized semantic metadata. These efforts lead to the Semantic Web--a network able to support computational activities and provide people with services efficiently. Leaders in library and information science, computer science, and information intensive domains provide insight and inspiration to give readers a greater understanding of the evolution of the Semantic Web. Librarians and information professionals are uniquely qualified to play a major role in the development and maintenance of the Semantic Web. Knitting the Semantic Web closely examines this crucial relationship in detail. This single source reviews the foundations, standards, and tools underlying the Semantic Web and presents thoughtful perspectives in the context of 2.0 developments. Many chapters include figures to illustrate concepts and ideas, and the entire text is extensively referenced. Topics in Knitting the Semantic Web include:
RDF, its expressive power, and its ability to underlie the new Library catalog card for the coming century
the value and application for controlled vocabularies
SKOS (Simple Knowledge Organization System), the newest Semantic Web language
managing scheme versioning in the Semantic Web
Physnet portal service for physics
Semantic Web technologies in biomedicine
developing the United Nations Food and Agriculture ontology
Friend Of A Friend (FOAF) vocabulary specification--with a real world case study at a university
Web/Library 2.0
and more
Knitting the Semantic Web is a stimulating resource for professionals, researchers, educators, and students in library and information science, computer science, information architecture, Web design, and Web services.
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