Data Management and Query Processing in Semantic Web Databases

Data Management and Query Processing in Semantic Web Databases
Author :
Publisher : Springer Science & Business Media
Total Pages : 273
Release :
ISBN-10 : 9783642193576
ISBN-13 : 3642193579
Rating : 4/5 (579 Downloads)

Book Synopsis Data Management and Query Processing in Semantic Web Databases by : Sven Groppe

Download or read book Data Management and Query Processing in Semantic Web Databases written by Sven Groppe and published by Springer Science & Business Media. This book was released on 2011-04-29 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Data Management and Query Processing in Semantic Web Databases Related Books

Data Management and Query Processing in Semantic Web Databases
Language: en
Pages: 273
Authors: Sven Groppe
Categories: Computers
Type: BOOK - Published: 2011-04-29 - Publisher: Springer Science & Business Media

GET EBOOK

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 comple
RDF Database Systems
Language: en
Pages: 256
Authors: Olivier Curé
Categories: Computers
Type: BOOK - Published: 2014-11-24 - Publisher: Morgan Kaufmann

GET EBOOK

RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the b
Linked Data Management
Language: en
Pages: 566
Authors: Andreas Harth
Categories: Computers
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press

GET EBOOK

Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web. The book shows how the abundance of Linked Da
New Directions in Web Data Management 1
Language: en
Pages: 357
Authors: Athena Vakali
Categories: Computers
Type: BOOK - Published: 2011-01-19 - Publisher: Springer Science & Business Media

GET EBOOK

This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as application
Web Data Management
Language: en
Pages: 451
Authors: Serge Abiteboul
Categories: Computers
Type: BOOK - Published: 2011-11-28 - Publisher: Cambridge University Press

GET EBOOK

The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smar