How to publish Linked Data on the Web This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web. This tutorial has been superseeded by the book Linked Data: Evolving the Web into a Global Data Space written by Tom Heath and Christian Bizer. This tutorial was published in 2007 and is still online for historical reasons. The goal of Linked Data is to enable people to share structured data on the Web as easily as they can share documents today. The term Linked Data was coined by Tim Berners-Lee in his Linked Data Web architecture note. Applying both principles leads to the creation of a data commons on the Web, a space where people and organizations can post and consume data about anything. The Web of Data can be accessed using Linked Data browsers, just as the traditional Web of documents is accessed using HTML browsers. Literal Triples RDF Links 3.
sameAs Linked Data Patterns Watson Semantic Web Search This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. Search options allow you to restrict the search space to particular types of entities (classes, properties or individuals) and to particular elements within the entities (local name, label, comment or any literal). Navigation in the results follows very simple principles. sign appears, it can be used to display additional information about the element it is attached with.
Linked Data Basics for Techies - OpenOrg Intended Audience This is intended to be a crash course for a techie/programmer who needs to learn the basics ASAP. It is not intended as an introduction for managers or policy makers (I suggest looking at Tim Berners-Lee's TED talks if you want the executive summary). It's primarily aimed at people who're tasked with creating RDF and don't have time to faff around. Please Feedback-- especially if something doesn't make sense!!!! If you are new to RDF/Linked Data then you can help me! I put a fair bit of effort into writing this, but I am too familar with the field! If you are learning for the first time and something in this guide isn't explained very well, please drop me a line so I can improve it. cjg@ecs.soton.ac.uk Warning Some things in this guide are deliberately over-simplified. Alternatives If you don't like my way of explaining things, then there's other introductions out there; (suggest more!) Structure Tree data: (JSON, XML.) Graph data: (RDF). Merging RDF & Triples For example: Example a
Linked Data Platform 1.0 Introduction Many HTTP applications and sites have organizing concepts that partition the overall space of resources into smaller containers. Blog posts are grouped into blogs, wiki pages are grouped into wikis, and products are grouped into catalogs. Each resource created in the application or site is created within an instance of one of these container-like entities, and users can list the existing artifacts within one. Containers answer some basic questions, which are: To which URLs can I POST to create new resources? This document defines the representation and behavior of containers that address these issues. This document includes a set of guidelines for creating new resources and adding them to the list of resources linked to a container. The following illustrates a very simple container with only three members and some information about the container (the fact that it is a container and a brief title): Example 1 Example 2 Example 3 Example 4 Example 5 Example 6 Example 7 Example 8
SWSE Linked Data Platform 1.0 5.1 Introduction This section is non-normative. Many HTTP applications and sites have organizing concepts that partition the overall space of resources into smaller containers. Blog posts are grouped into blogs, wiki pages are grouped into wikis, and products are grouped into catalogs. Each resource created in the application or site is created within an instance of one of these container-like entities, and users can list the existing artifacts within one. To which URLs can I POST to create new resources? This document defines the representation and behavior of containers that address these issues. This document includes a set of guidelines for creating new resources and adding them to the list of resources linked to a container. The following illustrates a very simple container with only three members and some information about the container (the fact that it is a container and a brief title): Example 1 Example 2 Example 3 Example 4 Example 5 Example 6 Request: Example 7 Response: Example 8
Linked Data - Design Issues Up to Design Issues The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. Use URIs as names for things Use HTTP URIs so that people can look up those names. Simple. The four rules I'll refer to the steps above as rules, but they are expectations of behavior. The first rule, to identify things with URIs, is pretty much understood by most people doing semantic web technology. The second rule, to use HTTP URIs, is also widely understood. The third rule, that one should serve information on the web against a URI, is, in 2006, well followed for most ontologies, but, for some reason, not for some major datasets. The basic format here for RDF/XML, with its popular alternative serialization N3 (or Turtle). Basic web look-up or in RDF/XML Followup
Data What is Linked Data? The Semantic Web is a Web of Data — of dates and titles and part numbers and chemical properties and any other data one might conceive of. The collection of Semantic Web technologies (RDF, OWL, SKOS, SPARQL, etc.) provides an environment where application can query that data, draw inferences using vocabularies, etc. However, to make the Web of Data a reality, it is important to have the huge amount of data on the Web available in a standard format, reachable and manageable by Semantic Web tools. To achieve and create Linked Data, technologies should be available for a common format (RDF), to make either conversion or on-the-fly access to existing databases (relational, XML, HTML, etc). What is Linked Data Used For? Linked Data lies at the heart of what Semantic Web is all about: large scale integration of, and reasoning on, data on the Web. Examples Learn More Tim Berners-Lee's note on Linked Data gives a succinct description of the Linked Data principles.
C Linked Data Platform Working Group Charter The mission of the Linked Data Platform (LDP) Working Group is to produce a W3C Recommendation for HTTP-based (RESTful) application integration patterns using read/write Linked Data. This work will benefit both small-scale in-browser applications (WebApps) and large-scale Enterprise Application Integration (EAI) efforts. It will complement SPARQL and will be compatible with standards for publishing Linked Data, bringing the data integration features of RDF to RESTful, data-oriented software development. Introduction This group is based on the idea of combining two Web-related concepts to help solve some of the long-standing challenges involved in building and combining software: RDF, the Resource Description Framework, is a W3C Recommended general technique for conveying information. The Linked Data Platform is envisioned as an enterprise-ready collection of standard techniques and services based on using RESTful APIs and the W3C Semantic Web stack. Scope Technical Issues Deliverables
Getty Vocabularies as LOD The Getty vocabularies are constructed to allow their use in linked data. A project to publish AAT, TGN, ULAN, and CONA to the LOD (Linked Open Data) cloud is underway. The documents on this page contain news and presentations about releasing the Getty vocabularies as LOD. These materials are subject to frequent modification and addition. News and Status of the Project Ontology update: Note that the ontology has changed. Additional releases: Plans are in place to release the other vocabularies as LOD on the following dates: ULAN in January 2015 and the CONA demo in July 2015. Other formats: In addition to LOD, we plan to continue providing the data in relational tables and XML releases. Working with the community: We have established an open community and we welcome collaboration. For questions and comments about editorial content or general information regarding the Getty Vocabularies, please contact us at vocab@getty.edu What Is LOD?
Basic Semantic Concepts | Semantic Strategy Inc What is an Ontology? An ontology formally represents knowledge as a set of concepts within a domain, and the relationships among those concepts. The World Wide Web Consortium (W3C) uses the word vocabulary, but they can essentially mean the same thing: Vocabularies define the concepts and relationships (also referred to as “terms”) used to describe and represent an area of concern. What is a Triple? A triple is a data entity composed of subject-predicate-object, like “Bob is a Person” or “Bob knows Fred”. Examples of triples: Ted Derek Alexandria has employee has supervisor has title has child population President Jimmy What is a Triple Store/Quad Store? A Triple Store is a database designed for the storage and retrieval of Resource Description Framework (RDF) metadata in the form of triples. What is Semantic Provenance? If you look it up in the dictionary, it would define provenance as “the history of ownership of a valued object or work of art or literature”. What is Semantic Inference?
RDF 1.1 N-Quads Abstract N-Quads is a line-based, plain text format for encoding an RDF dataset. Status of This Document This section describes the status of this document at the time of its publication. This document is part of the RDF 1.1 document suit. This document was published by the RDF Working Group as a Recommendation. Please see the Working Group's implementation report. This document has been reviewed by W3C Members, by software developers, and by other W3C groups and interested parties, and is endorsed by the Director as a W3C Recommendation. This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. Table of Contents 1. This document defines N-Quads, an easy to parse, line-based, concrete syntax for RDF Datasets [RDF11-CONCEPTS]. N-quads statements are a sequence of RDF terms representing the subject, predicate, object and graph label of an RDF Triple and the graph it is part of in a dataset. 2. 2.1 Simple Statements 2.2 IRIs 2.3 RDF Literals 2.4 RDF Blank Nodes