SWSE LinkedData - ESW Wiki LinkedData is to spreadsheets and databases what the Web of hypertext documents is to word processor files. Use URIs as names for things Use HTTP URIs so that people can look up those names. When someone looks up a URI, provide useful information. Include links to other URIs. so that they can discover more things groupage cargo service. Linked Data Presentations: Writings: Workshop Series about Linked Data at the WWW conferences Other Workshops about Linked Data 1st International Workshop on Consuming Linked Data (COLD 2010) at ISWC 2010 Community: Examples of Linked Data: See DataSets Client side tools: Server side tools: dbview.py by DanConnolly, Rob Crowell and TimBL Virtuoso - "Sponger" component of Virtuoso's SPARQL Engine, RDF Views of SQL, and the HTTP engine's Linked Data Deployment features D2R Server P2R - expose Prolog knowledge base as linked data (when bundled with UriSpace) SPARQL2XQuery - Bridging the Gab between the XML and the Semantic Web Worlds. Live Demos: Meetups:
The Tabulator (1) Tim Berners-Lee Tim coded up the original version at odd times in November and December 2005. See Links on the Semantic Web from Dec 2005 Undergraduate Research Opportunity Program (UROP) over June-August 2006 people are below. A new team will work over the summer. Yushin Chen "Joyce" wrote the calendar views, and incorporated the Simle timeline. Lydia Chilton Lydia is working on statistical analysis, charts, etc. Ruth Dhanaraj Ruth worked on the Tabulator in January 2006, adding the asynchronous fetching of documents during queries, etc. Adam Lerer Adam works on the back-end -- the query system, and generic stuff around the query UI. Jim Hollenbach Jim is responsible for the map view. David Sheets David wrote the RDF parser, and does a lot of architecture and release engineering. Thanks also to Dan Connolly and Ralph Swick for co-supervising students and for ideas, support, testing and encouragement. When you use these techniques on the server, the tabulator works better.
What people find hard about Linked Data | I Really Don’t Know This post originally appeared on Talis Consulting Blog. Following on from the post I put up last talking about Linked Data training, I got asked what people find hard when learning about Linked Data for the first time. Delivering our training has given us a unique insight into that, across different roles, backgrounds and organisations — in several countries. We’ve taught hundreds of people in all. It’s definitely true that people find Linked Data hard, but the learning curve is not really steep compared with other technologies. I’ve broken those down into conceptual difficulties, the way we think, and practical problems. The main steps we find people have to climb (in no particular order) are Graph Thinking, URI/URL distinction, Open World Assumption, HTTP 303s, and Syntax… Conceptual Graph Thinking The biggest conceptual problem learners seem to have is with what we call graph thinking. Take the idea of a simple social network — friend-to-friend connections. What can we do? Practical Syntax
Tools This page gives an overview of software tools related to the Semantic Web or to semantic technologies in general. Due to the large amount of tools being created in the community, this site is always somewhat outdated. Contributions and updates are welcomed. Adding your own Adding your own tool is as easy as creating a page. Do not forget to use a suitable category to classify the tool, otherwise it will not appear below. If your tool is an OWL 2 implementation or a RIF implementation not yet listed here, please consider to add it. Current tools on semanticweb.org.edu The following tools are currently recorded in this wiki. RDF2Go (Version 4.8.3, 4 June 2013) Bigdata (Version 1.2.3, 31 May 2013) Semantic Measures Library (Version 0.0.5, 4 April 2013) HermiT (Version 1.3.7, 25 March 2013) Fluent Editor (Version 2.2.2, 20 March 2013) The following is a list of all tools currently known (use the icons in the table header to sort by any particular column)
Build Your Own NYT Linked Data Application Now that we’ve published nearly 10,000 of our tags as Linked Open Data, you’re probably wondering what kind of cool applications you can build with this data. To help you get started (and since linked data applications are a little different from your average Web application), we thought we’d provide a sample application and detailed information about how we built it. Our sample application, “Who Went Where,” lets you explore recent Times coverage of the alumni of a specified college or university. The Who Went Where application (click for larger image) You can find the application here and beautified source code here. Before we dive into the source, let’s take a high-level look at the application’s control (which is fairly straightforward). Wait! Linked Data: The idea behind linked data is super simple. DBpedia: Have you ever noticed those handy little info boxes on certain Wikipedia articles? Step-by-Step to Your Own NYT Linked Data Application Step 1: Initializing the Auto-Complete Field
RDF Automation Ushering in Semantic Web Researchers with the Rensselaer Polytechnic Institute (RPI) have thrown themselves head over heels into the semantic web. At this year's 8th International Semantic Web Conference, they presented a paper (download the PDF) focused on the problem of automatically generating the metadata that many semantic web functionalities rely on. Talking about RDF closures can cause eyelids to flutter, but the RPI folks aren't living in some theoretical world. A Quick RDF Primer Before I get into the tech, here's a quick primer for those who don't know their RDFs from their RFCs. Ultimately, RDF is the heart of the Semantic Web. The most important RDF concept to understand is that of the RDF Triple. Resource Description Framework (RDF) Triple — Subject, Predicate (or Property) and Object (or Value) The meaning (or semantic value) of an RDF expression is that some relationship — defined by the RDF Predicate/Property — exists between the RDF Subject and the RDF Object/Value. RDF in Action <?
Primer - Getting into the semantic web and RDF using N3 [translations into other languages ] The world of the semantic web, as based on RDF, is really simple at the base. This article shows you how to get started. Subject, verb and object In RDF, information is simply a collection of statements, each with a subject, verb and object - and nothing else. <#pat><#knows><#jo> . Everything, be it subject, verb, or object, is identified with a Uniform Resource Identifier. There is one exception: the object (only) can be a literal, such as a string or integer: <#pat><#knows><#jo> . The verb "knows" is in RDF called a "property" and thought of as a noun expressing a relation between the two. <#pat><#child><#al> . alternatively, to make it more readable, as either <#pat> has <#child><#al> . or <#al> is <#child> of <#pat> . There are two shortcuts for when you have several statements about the same subject: a semicolon ";" introduces another property of the same subject, and a comma introduces another object with the same predicate and subject. could be written
Notation3 (N3): A readable RDF syntax Up to Design Issues An RDF language for the Semantic Web This article gives an operational semantics for Notation3 (N3) and some RDF properties for expressing logic. These properties, together with N3's extensions of RDF to include variables and nested graphs, allow N3 to be used to express rules in a web environment. This is an informal semantics in that should be understandable by a human being but is not a machine readable formal semantics. This document is aimed at a logician wanting to a reference by which to compare N3 Logic with other languages, and at the engineer coding an implementation of N3 Logic and who wants to check the detailed semantics. These properties are not part of the N3 language, but are properties which allow N3 to be used to express rules, and rules which talk about the provenance of information, contents of documents on the web, and so on. The log: namespace has functions, which have built-in meaning for CWM and other software. See also: Motivation Formal syntax
Resource Description Framework (RDF) Schema Specification 1.0 W3C Candidate Recommendation 27 March 2000 This Version: Latest Version: Previous Version: Editors: Dan Brickley, University of Bristol R.V. Acknowledgments Copyright ©1998,1999,2000 W3C® (MIT, INRIA, Keio), All Rights Reserved. Abstract This specification describes how to use RDF to describe RDF vocabularies. Status of this document This document is a Candidate Recommendation of the World Wide Web Consortium. This specification is a revision of the Proposed Recommendation of March 03 1999, incorporating editorial suggestions received in review comments. The Resource Description Framework is part of the W3C Metadata Activity. This section describes the status of this document at the time of its publication. It is inappropriate to use W3C Candidate Recommendations as reference material or to cite them as other than "work in progress". Table of Contents 1. 1.1. 1.1.1. 2.
Resource Description Framework (RDF) / W3C Semantic Web Activity Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications. This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. Recommended Reading The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014. A number of textbooks have been published on RDF and on Semantic Web in general. Discussions on a possible next version of RDF
SPARQL Query Language for RDF W3C Recommendation 15 January 2008 New Version Available: SPARQL 1.1 (Document Status Update, 26 March 2013) The SPARQL Working Group has produced a W3C Recommendation for a new version of SPARQL which adds features to this 2008 version. This version: Latest version: Previous version: Editors: Eric Prud'hommeaux, W3C <eric@w3.org> Andy Seaborne, Hewlett-Packard Laboratories, Bristol <andy.seaborne@hp.com> Please refer to the errata for this document, which may include some normative corrections. See also translations. Copyright © 2006-2007 W3C® (MIT, ERCIM, Keio), All Rights Reserved. Abstract RDF is a directed, labeled graph data format for representing information in the Web. Status of This Document This section describes the status of this document at the time of its publication. This is a W3C Recommendation. Appendices 1 Introduction Data: Query: ? ? ? ?