Web Data Management
Web Data Management

Author: Serge Abiteboul

Publisher: Cambridge University Press

Published: 2011-11-28

Total Pages: 451

ISBN-13: 113950505X

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The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.

Web Data Management Practices
Web Data Management Practices

Author: Athena Vakali

Publisher: IGI Global

Published: 2007-01-01

Total Pages: 323

ISBN-13: 1599042282

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"This book provides an understanding of major issues, current practices and the main ideas in the field of Web data management, helping readers to identify current and emerging issues, as well as future trends. The most important aspects are discussed: Web data mining, content management on the Web, Web applications and Web services"--Provided by publisher.

Data on the Web
Data on the Web

Author: Serge Abiteboul

Publisher: Morgan Kaufmann

Published: 2000

Total Pages: 280

ISBN-13: 9781558606227

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Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors.

Web-Scale Data Management for the Cloud
Web-Scale Data Management for the Cloud

Author: Wolfgang Lehner

Publisher: Springer Science & Business Media

Published: 2013-04-06

Total Pages: 209

ISBN-13: 1461468566

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The efficient management of a consistent and integrated database is a central task in modern IT and highly relevant for science and industry. Hardly any critical enterprise solution comes without any functionality for managing data in its different forms. Web-Scale Data Management for the Cloud addresses fundamental challenges posed by the need and desire to provide database functionality in the context of the Database as a Service (DBaaS) paradigm for database outsourcing. This book also discusses the motivation of the new paradigm of cloud computing, and its impact to data outsourcing and service-oriented computing in data-intensive applications. Techniques with respect to the support in the current cloud environments, major challenges, and future trends are covered in the last section of this book. A survey addressing the techniques and special requirements for building database services are provided in this book as well.

Data Management and Query Processing in Semantic Web Databases
Data Management and Query Processing in Semantic Web Databases

Author: Sven Groppe

Publisher: Springer Science & Business Media

Published: 2011-04-29

Total Pages: 273

ISBN-13: 3642193579

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The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.

New Directions in Web Data Management 1
New Directions in Web Data Management 1

Author: Athena Vakali

Publisher: Springer Science & Business Media

Published: 2011-01-19

Total Pages: 357

ISBN-13: 3642175503

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This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying and the importance of social Web.

Database Management with Web Site Development Applications
Database Management with Web Site Development Applications

Author: Greg Riccardi

Publisher: Prentice Hall

Published: 2003

Total Pages: 456

ISBN-13:

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*JX094-4, 0-201-74387-6, Riccardi, Greg; Database Management with Website Development Applications Covers the basic background needed to understand databases, but applies the material to a real-world context--a business going online--to make the material relevant to readers. The case studies about a business moving to the web helps readers learn about SQL, database design, the Entity-Relationship model. The book uses Access and Oracle to give readers experience with the most popular SQL tools today. The second-half of the book teaches readers how to design a website to interact with users; how to construct web pages with HTML and XML; organize information and applications for use in e-commerce sites; and develop software to support user interactions. MARKET" IS/IT database managers who want to learn about using the web with their databases.

Web Data Management
Web Data Management

Author: Sourav S. Bhowmick

Publisher: Springer Science & Business Media

Published: 2006-05-09

Total Pages: 481

ISBN-13: 0387217819

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Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and managing Web data, and efficiently managing Web information from the database perspective. The book proposes a data model called WHOM (Warehouse Object Model) to represent HTML and XML documents in the warehouse. It defines a set of web algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. These algebraic operators are used for change detection.

In-Memory Data Management
In-Memory Data Management

Author: Hasso Plattner

Publisher: Springer Science & Business Media

Published: 2012-04-17

Total Pages: 286

ISBN-13: 3642295754

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In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

Engaging Researchers with Data Management: The Cookbook
Engaging Researchers with Data Management: The Cookbook

Author: Connie Clare

Publisher: Open Book Publishers

Published: 2019-10-09

Total Pages: 111

ISBN-13: 1783748001

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Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities. This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.