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: Introduction to Vocabularies: Enhancing Access to Cultural Heritage InformationIntroduction to Vocabularies: Enhancing Access to Cultural Heritage Information
by - Oxford University Press
The book highlights the crucial role that controlled vocabularies play in the description, cataloging, or documentation of cultural heritage information. It stresses the importance of standards and the authority work in managing vocabularies.
(7281 views)
Book cover: Models and Theories in Human-Computer InteractionModels and Theories in Human-Computer Interaction
- Wikibooks
Human Computer Interaction is an interdisciplinary field, theories and models are adapted from many other disciplines. Through the course, we will learn, critique, apply, and expand theories and models to make them relevant to the state of the field.
(6674 views)
Book cover: Semantic Web And OntologySemantic Web And Ontology
by - Bookboon
This book is intended for engineering students who are interested in exploring the technology of Semantic web. The book simplifies the tough concepts associated with Semantic web and can be considered as the base of the knowledge about Web 3.0.
(7021 views)
Book cover: Mastering the Information Age: Solving Problems With Visual AnalyticsMastering the Information Age: Solving Problems With Visual Analytics
by - Eurographics Association
The aim is to create a research roadmap that outlines the current state of visual analytics across many disciplines, and to describe the next steps to foster a strong visual analytics community, thus enabling the development of advanced applications.
(7949 views)