Logo

Practical Semantic Web and Linked Data Applications

Small book cover: Practical Semantic Web and Linked Data Applications

Practical Semantic Web and Linked Data Applications
by


Number of pages: 180

Description:
This book is intended to be a practical guide for using RDF data in information processing, linked data, and semantic web applications using both the AllegroGraph product and the Sesame open source project. While AllegroGraph itself is written in Common Lisp, this book is primarily written for programmers using either Java or other JVM languages like Scala, Clojure, and JRuby.

Download or read it online for free here:
Download link
(1MB, PDF)

Similar books

Book cover: Data Science at the Command LineData Science at the Command Line
by - O'Reilly Media
This guide demonstrates how the flexibility of the command line can help you become a more productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
(5868 views)
Book cover: Introduction to Archival Organization and DescriptionIntroduction to Archival Organization and Description
by - Oxford University Press
The book guides the novice to an understanding of archival information and documentation. It covers the characteristics of archival materials, analysis of information for archival description, descriptive tools in information systems, etc.
(6860 views)
Book cover: A Guide to Documentary EditingA Guide to Documentary Editing
by - University of Virginia Press
In addition to exploring the role electronic technology plays in the editing process, this edition provides the most current treatment of the craft's fundamental issues. These include locating and collecting sources, transcribing source texts, etc.
(7402 views)
Book cover: Big Data on Real-World ApplicationsBig Data on Real-World Applications
by - InTech
High volumes of valuable data are generated day by day in modern organizations. The management of huge volumes of data has become a priority in these organizations, requiring new techniques for data management and analysis in Big Data environments.
(5950 views)