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"The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs."

Resource Description Framework (RDF) is a general-purpose language for representing information in the Web. This document defines a textual syntax for RDF called Turtle that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the existing N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.

Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. This Primer is designed to provide the reader with the basic knowledge required to effectively use RDF. It introduces the basic concepts of RDF and describes its XML syntax. It describes how to define RDF vocabularies using the RDF Vocabulary Description Language, and gives an overview of some deployed RDF applications. It also describes the content and purpose of other RDF specification documents.

LODSPeaKr is a small and simple system that allows you to publish your RDF data in a fast way and without much effort. LODSPeaKr allows you to publish your data in several machine-processable syntaxes (RDF/XML, Turtle, N-Triples) as well as in HTML.

Syntax and semantics of XProc: An XML Pipeline Language, a language for describing operations to be performed on XML documents. An XML Pipeline specifies a sequence of operations to be performed on zero or more XML documents. Pipelines generally accept zero or more XML documents as input and produce zero or more XML documents as output. Pipelines are made up of simple steps which perform atomic operations on XML documents and constructs similar to conditionals, iteration, and exception handlers which control which steps are executed.

The Resource Description Framework (RDF) is a general-purpose language for representing information in the Web. This specification describes how to use RDF to describe RDF vocabularies. This specification defines a vocabulary for this purpose and defines other built-in RDF vocabulary initially specified in the RDF Model and Syntax Specification.

RDF is a directed, labeled graph data format for representing information in the Web. This specification defines the syntax and semantics of the SPARQL query language for RDF. SPARQL can be used to express queries across diverse data sources, whether the data is stored natively as RDF or viewed as RDF via middleware. SPARQL contains capabilities for querying required and optional graph patterns along with their conjunctions and disjunctions. SPARQL also supports extensible value testing and constraining queries by source RDF graph. The results of SPARQL queries can be results sets or RDF graphs.

This project contains a set of wiki-related libraries, such as a parsers for various wiki syntaxes, and common wiki model (event- and object-based).

Foundations of Semantic Web Technologies Chapman & Hall/CRC, 2009, 455 pages, hardcover ISBN: 9781420090505 (BibTeX). Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research. This foundational text introduces the standardized knowledge representation languages for modeling ontologies operating at the core of the semantic web. To support the presentation of each language, the authors explain syntax and underlying intuitions through examples, with separate treatment of the underlying formal semantics. They cover RDF Schema, Web Ontology Language (OWL), rules, and query languages, such as SPARQL. The book also presents recent developments concerning the OWL 2 revision and the forthcoming Rule Interchange Format (RIF).

an overview of the SPARQL Inferencing Notation (SPIN). SPIN is a SPARQL-based rule and constraint language for the Semantic Web. SPIN is also a mechanism to represent reusable SPARQL queries as templates and to define new SPARQL functions with a web-friendly syntax.