This guide forms the introduction to the set of GraphDB user documentation. GraphDB is Ontotext's database system for storing, processing and querying structured data formatted according to the Resource Description Framework (RDF). It is packaged as a Storage and Inference Layer (SAIL) for the Sesame RDF framework. If you need a quick overview of GraphDB or a download link to its latest releases, please visit GraphDB product page.
This document is intended for project managers, engineers and systems designers who wish to integrate GraphDB in to their applications, but who do not necessarily have a thorough grounding in semantic technologies and concepts. It is also useful for system administrators who need to support and maintain an GraphDB-based system.
This document presumes that the reader is familiar with databases and is expected to be able to draw from his knowledge of relational databases. The required minimum of Semantic Web concepts and related information is provided in the course of this document.
An understanding of XML would also be beneficial, as it is the most widely used meta-data description language on the Web and for this reason is used as a standard method for illustrating Semantic Web concepts in the reference literature.
The background knowledge section gives a brief conceptual description of the Semantic Web. There is a great deal of information about the Semantic Web available both over the Internet and in print, therefore the topics in this section serve to highlight the required knowledge rather than to cover them in great depth. However, ample references are provided for every topic.
The background knowledge section is optional depending on the reader's familiarity with Semantic Web concepts. For readers unfamiliar with this subject, it is recommended to read this entire section first and preferably check as many of the references as time permits. Readers who have some understanding, should read this section selectively, skipping over content that is already familiar. Experts in this field can skip the entire section.
The following formatting conventions are used in this book:
GraphDB uses Sesame as a library, taking advantage of its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g. SPARQL and SeRQL) and RDF syntaxes (e.g. RDF/XML, N3, Turtle).
Full licensing information is available at http://www.ontotext.com/products/ontotext-graphdb/, as well as in the license files located in the main folder of the distribution package.
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