Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods.
Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. This site exists to provide a home for, or pointers to, resources from across the Linked Data community.
W3C POWDER Working Group. The POWDER Working Group is specifying a protocol for publishing descriptions of (e.g. metadata about) Web resources using RDF, OWL, and HTTP.
voiD (from "Vocabulary of Interlinked Datasets") is an RDF based schema to describe linked datasets. With voiD the discovery and usage of linked datasets can be performed both effectively and efficiently. A dataset is a collection of data, published and maintained by a single provider, available as RDF, and accessible, for example, through dereferenceable HTTP URIs or a SPARQL endpoint.
When you submit a uri, it will be matched against datasets with a void:uriRegexPattern property. Matching datasets will have their void:sparqlEndpoints queried for a description of that URI
There are many situations where it would be useful to be able to publish multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The Data Cube vocabulary provides a means to do this using the W3C RDF (Resource Description Framework) standard. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows.