Web Data Management

Web Data Management
Author: Serge Abiteboul
Publisher: Cambridge University Press
Total Pages: 451
Release: 2011-11-28
Genre: Computers
ISBN: 113950505X

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
Total Pages: 323
Release: 2007-01-01
Genre: Computers
ISBN: 1599042282

"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
Total Pages: 280
Release: 2000
Genre: Computers
ISBN: 9781558606227

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 Data Management

Web Data Management
Author: Sourav S. Bhowmick
Publisher: Springer Science & Business Media
Total Pages: 481
Release: 2006-05-09
Genre: Computers
ISBN: 0387217819

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.

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
Total Pages: 273
Release: 2011-04-29
Genre: Computers
ISBN: 3642193579

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.

Web-Scale Data Management for the Cloud

Web-Scale Data Management for the Cloud
Author: Wolfgang Lehner
Publisher: Springer Science & Business Media
Total Pages: 209
Release: 2013-04-06
Genre: Computers
ISBN: 1461468566

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.

New Directions in Web Data Management 1

New Directions in Web Data Management 1
Author: Athena Vakali
Publisher: Springer Science & Business Media
Total Pages: 357
Release: 2011-01-19
Genre: Computers
ISBN: 3642175503

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
Total Pages: 456
Release: 2003
Genre: Computers
ISBN:

*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.

Readings in Database Systems

Readings in Database Systems
Author: Joseph M. Hellerstein
Publisher: MIT Press
Total Pages: 884
Release: 2005
Genre: Computers
ISBN: 9780262693141

The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.

Web Data Management

Web Data Management
Author: Serge Abiteboul
Publisher: Cambridge University Press
Total Pages: 450
Release: 2011-11-28
Genre: Computers
ISBN: 9781107012431

The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers, to smartphones, to websites such as Youtube and Picasa. 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, the Web standard for data management, 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. Striking a balance between the conceptual and the practical, the book will serve as an introduction to the new, global, information systems for Web professionals as well as for master's level courses.