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This query page is designed to help you test OpenLink Virtuoso SPARQL protocol endpoint. Consult the Virtuoso Wiki page describing the service or the Online Virtuoso Documentation section RDF Database and SPARQL. There is also a rich Web based user interface with sample queries. You can access it at: /isparql.

"Linked Data Notifications is a protocol that describes how servers (receivers) can have messages pushed to them by applications (senders), as well as how other applications (consumers) may retrieve those messages. Any resource can advertise a receiving endpoint (Inbox) for the messages. Messages are expressed in RDF, and can contain any data."

data.nature.com - the NPG Linked Data Platform The Linked Data Platform provides access to datasets from NPG published as linked data and made available through SPARQL services. The data are queryable interactively through a form interface and remotely through a service endpoint.

a faceted browser on top of RDF data available through SPARQL endpoints that support COUNT/GROUP BY queries -

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.

The "LOV Search" Features gives you the possibility to search for an existing element (property, class or vocabulary) in the Linked Open Vocabularies Catalogue. LOV Aggregator endpoint and metrics about the use of vocabularies in the Semantic Web are used to bring you some relevant results.

The "LOV Search" Features gives you the possibility to search for an existing element (property, class or vocabulary) in the Linked Open Vocabularies Catalogue. LOV Aggregator endpoint and metrics about the use of vocabularies in the Semantic Web are used to bring you some relevant results.

"LOC is a community effort to collate, cleanse, consolidate, and augment structured e-commerce information from the World Wide Web, and to make this information available via a SPARQL endpoint."

Nice post.

Wikipedia users constantly revise Wikipedia articles with updates happening almost each second. Hence, data stored in the official DBpedia endpoint can quickly become outdated, and Wikipedia articles need to be re-extracted. DBpedia-Live enables such a continuous synchronization between DBpedia and Wikipedia.

The name and tool relies on and/or is inspired by SPARQL, Google visualization API, SPARQLer, Snorql and Spark. All the major chart types offered by the Google Visualization API are supported by Sgvizler. The user inputs a SPARQL query which is sent to a designated SPARQL endpoint. Sgvizler parses the results into the JSON format that Google prefers and displays the chart using the Google Visualization API or a custom-made visualization or formatting function.

Now it is even easier to use the rich and diverse collection of real-world concepts in OpenCyc to bring meaning to your semantic web applications! The full OpenCyc content is now available both as downloadable OWL ontologies as well as via semantic web endpoints (i.e., permanent URIs). These URIs return RDF representations of each Cyc concept as well as a human-readable version when accessed via a Web Browser.

"The Web is full of high-quality Linked Data. But we can't reliably query it. Public SPARQL endpoints are often unavailable, because they need to answer many unique queries."

zvelo is a leading "Data as a Service" provider of contextual categorization and malicious detection for a wide range of data sets and attributes, including language, category values (including Interactive Advertising Bureau's taxonomy), sentiment, ad fraud and malicious website detection, and more for URLs, the Deep Web and unstructured data. These data sets can be accessed through simple, straightforward SDKs and APIs for integration with applications in the online advertising, data analytics, network and endpoint security, and other use cases where contextual categorization accuracy, responsiveness, coverage, malicious detection, high performance throughput and scalability are required.