Welcome to Apache Clerezza
Apache Clerezza is a set of Java libraries for management of semantically linked data. Contents are stored as triples based on W3C RDF specification. Apache Clerezza defines a technology-agnostic layer to access and modify triple stores. It provides a java implementation of the graph data model specified by W3C RDF and functionalities to operate on that data model. Apache Clerezza offers a service
SPIN - SPARQL Inferencing Notation
Overview SPIN is a W3C Member Submission that has become the de-facto industry standard to represent SPARQL rules and constraints on Semantic Web models. SPIN also provides meta-modeling capabilities that allow users to define their own SPARQL functions and query templates. Finally, SPIN includes a ready to use library of common functions. For more information see SPIN Architecture and the SPIN Ov
Apache Any23 – Apache Any23 - Introduction
This project has retired. For details please refer to its Attic page. Apache/ Any23/ Apache Any23 - Introduction | Last Published: 2022-03-03 Version: 2.8-SNAPSHOT Introduction to Apache Any23 Library Anything To Triples (any23) is a library, a web service and a command line tool that extracts structured data in RDF format from a variety of Web documents. Currently it supports the following input
Linking Geospatial Data, 5th - 6th March 2014, London (Report)
Report 60 Second Executive Summary The stars of the show: Miss Globe and Mr Cube, created by Frans Knibbe of Geodan A lot of the discussion across the two days of the workshop can be summarized in the paper and presentation by Frans Knibbe of Geodan. By introducing the characters of Miss Globe and Mr Cube, he posed some key questions: how should we encode geometry? how and where should we implemen
JSON-LD - JSON for Linking Data
Data is messy and disconnected. JSON-LD organizes and connects it, creating a better Web. Linked Data Linked Data empowers people that publish and use information on the Web. It is a way to create a network of standards-based, machine-readable data across Web sites. It allows an application to start at one piece of Linked Data, and follow embedded links to other pieces of Linked Data that are host
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Ontologies
This site provides access to the ontologies the BBC is using to support its audience facing applications such as BBC Sport, BBC Education, BBC Music, News projects and more. These ontologies form the basis of our Linked Data Platform. RDF Turtle versions of each ontology are available to download. If you would like to get in touch with us, please email the BBC's Metadata Unit. You can also access
Case Study: Use of Semantic Web Technologies on the BBC Web Sites
Case Study: Use of Semantic Web Technologies on the BBC Web Sites Yves Raimond, Tom Scott, Patrick Sinclair, Libby Miller, Stephen Betts, and Frances McNamara, BBC, United Kingdom January 2010 General Description The BBC is the largest broadcasting corporation in the world. Central to its mission is to enrich people’s lives with programmes that inform, educate and entertain. It is a public service
BBC World Cup Website Showcases Semantic Technologies
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Semantic Web - Wikipedia
The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards[1] set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description Framework (RDF)[2] and Web Ontology Language (OWL)[3] a
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The Fundamental Importance of Keeping an ABox and TBox Split
http://credible.i3s.unice.fr/lib/exe/fetch.php?media=credible-13-2-v1-rdb2rdf.pdf
https://hal.science/file/index/docid/903568/filename/Michel_Montagnat_Faron_2013_-_A_survey_of_RDB_to_RDF_translation_approaches_and_tools.pdf
WebVOWL
BBC - BBC Internet Blog: The World Cup and a call to action around Linked Data
BBC - BBC Internet Blog: Sports Refresh: Dynamic Semantic Publishing
Use Case: Ontology-Driven Information Integration and Delivery
Examples of Semantic Web Applications
Semantic Web in the Enterprise - Cambridge Semantics