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.
Interesting slides, that
"introduce the necessity of a new language that can set a link between the machine process of cyberspace and the uman collective intelligence, which is dynamic, in constant change and made in different languages, from different approaches."....
"Rules have many uses, coming in a multitude of forms. RuleML is a unifying system of families of languages for Web rules over Web documents and data. RuleML is specified syntactically through schema languages (normatively, in Relax NG), originally developed for XML and transferable to other formats such as JSON. Since Version 1.02, rather than assuming predefined default semantics, RuleML allows partially constrained semantic profiles and fully-specified semantics."
"The W3C standard query language SPARQL is letting people access a growing collection of public and private data. Whether this data is part of a semantic web project or a combination of data from two relational databases on different platforms, SPARQL is making it easier to access this data using both open source and commercial software. "Learning SPARQL" teaches you how to use SPARQL 1.1 by starting you off with simple queries that demonstrate the language's query-by-example approach and then taking you through all the key features of the SPARQL 1.1 query and update languages. All example "
"The Global Database of Events, Language, and Tone (GDELT) is an initiative to construct a catalog of human societal-scale behavior and beliefs across all countries of the world, connecting every person, organization, location, count, theme, news source, and event across the planet into a single massive network that captures what's happening around the world, what its context is and who's involved, and how the world is feeling about it, every single day."
WordNet® is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.
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.
'The Linguistic Data Consortium (LDC) is an open consortium of universities, libraries, corporations and government research laboratories. LDC was formed in 1992 to address the critical data shortage then facing language technology research and development.'