Marbles Linked Data Engine RDF Schema 1.1 Abstract RDF Schema provides a data-modelling vocabulary for RDF data. RDF Schema is an extension of the basic RDF vocabulary. Status of This Document This section describes the status of this document at the time of its publication. This document is an edited version of the 2004 RDF Schema Recommendation. This document was published by the RDF Working Group as a Recommendation. 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. RDF Schema provides a data-modelling vocabulary for RDF data. This document is intended to provide a clear specification of RDF Schema to those who find the formal semantics specification [RDF11-MT] daunting. RDF Schema is a semantic extension of RDF. 2. 2.1 rdfs:Resource 2.2 rdfs:Class 3. Note
RDF Book Mashup The RDF book mashup demonstrates how Web 2.0 data sources like Amazon, Google or Yahoo can be integrated into the Semantic Web. The RDF book mashup makes information about books, their authors, reviews, and online bookstores available on the Semantic Web. This information can be used by RDF tools and you can link to it from your own Semantic Web data. Contents News 2009/07/17: GoodRelations support added. 1. The vision of the Semantic Web is to build a global information space consisting of linked data. The goal of the RDF book mashup is to show how Web 2.0 data sources can be integrated into the Semantic Web, meaning that Web 2.0 data can be browsed using generic RDF browsers like Tabulator and can be crawled and cached by Semantic Web search engines like SWSE, SWOOGLE or the Semantic Web Client Library, which will eventually make it possible to query the complete Web using the SPARQL query language. The book mashup applies these principles to Web 2.0 data about books. 2. 3. 4. 5. 6.
RDF 1.1 Semantics Abstract This document describes a precise semantics for the Resource Description Framework 1.1 [RDF11-CONCEPTS] and RDF Schema [RDF11-SCHEMA]. It defines a number of distinct entailment regimes and corresponding patterns of entailment. Status of This Document This section describes the status of this document at the time of its publication. This document is part of RDF 1.1 document suite. 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 Notes Notes in this style indicate changes from the 2004 RDF 1.0 semantics. Notes in this style are technical asides on obscure or recondite matters. 1. 2. 3. semantic extension . entailment regime .
Disco Hyperdata Browser The Disco - Hyperdata Browser is a simple browser for navigating the Semantic Web as an unbound set of data sources. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. While you move from resource to resource, the browser dynamically retrieves information by dereferencing HTTP URIs and by following rdfs:seeAlso links. News 04.03.2007: SemanticWebCentral provides another Linked Data browser called Objectviewer. 03.10.2007: OpenLink has published a new Data Web Browser which, like Disco, also enables you to browse Linked Data on the Web. 01.16.2007: Ivan Herman has written a Disco Bookmarklet. 1. The browser is a server-side application that can be used without installing anything on your machine. The screenshot below shows the browser user interface: You start browsing the Semantic Web by entering a URI into the navigation box. 2.
RDF 1.1 Concepts and Abstract Syntax Abstract The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. 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 suite. This document was published by the RDF Working Group as a Recommendation. 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. Any IRI or literal denotes
Planet RDF "Core types xsd:string - Character strings (but not... Generating RDF from data.gov - Data-gov Wiki From Data-gov Wiki Overview Many of the datasets in data.gov are available as tables (spreadsheets). This makes it easy to translate the datasets into RDF by generating a triple for each table cell where the row id is the subject, the column name is the predicate, and the cell content is the object. Our work adopted the following principles: In the first principle, we minimize our translation by (i) preserving the functional structure of the original tables and (ii) skipping additional understanding of the cell content. In the second principle, we keep the translated RDF friendly to Web users. Our third principle was approached by using a semantic wiki to host user contributed extensions. In our fourth principle we preserve knowledge provenance of the converted RDF documents by embedding metadata about their sources, creators, and creation date time using the well-known Dublin Core and FOAF vocabularies. The Problem Datasets at data.gov are organized in the following structure parse raw data
RDF 1.1 XML Syntax Status of This Document This section describes the status of this document at the time of its publication. Other documents may supersede this document. This document is an edited version of the 2004 RDF XML Syntax Specification Recommendation. This document was published by the RDF Working Group as a Recommendation. 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. 2. This section introduces the RDF/XML syntax, describes how it encodes RDF graphs and explains this with examples. 2.1 Introduction The RDF Concepts and Abstract Syntax document [RDF11-CONCEPTS] defines the RDF Graph data model and the RDF Graph abstract syntax. The IRI represented by a QName is determined by appending the local name part of the QName after the namespace name (IRI) part of the QName. Example 1
Semantic desktop In computer science, the Semantic Desktop is a collective term for ideas related to changing a computer's user interface and data handling capabilities so that data is more easily shared between different applications or tasks and so that data that once could not be automatically processed by a computer could be. It also encompasses some ideas about being able to automatically share information between different people. This concept is very much related to the Semantic Web but is distinct insofar as its main concern is the personal use of information. General description[edit] The vision of the semantic desktop can be considered as a response to the perceived problems of existing user interfaces. Secondly there is the problem of relating different files with each other. Related to this a user will often access a lot of data from the Internet which is segregated from the data stored locally on the computer, being accessed through a browser or other programs. Standardization effort[edit]
Tracker Tracker is a search engine, search tool and metadata storage system. It allows you to find the proverbial needle in your computer's haystack as well as providing a one stop solution to the organisation, storage and categorisation of your data. User Resources Getting in Touch IRC channel Mailing list File a bug Maintainers: Martyn Russell nickname martyn Jürg Billeter nickname juergbi Carlos Garnacho nickname garnacho Philip Van Hoof nickname pvanhoof Ivan Frade nickname frade Mikael Ottela nickname ottela Aleksander Morgado nickname aleksander Development Resources RelFinder - Visual Data Web Are you interested in how things are related with each other? The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: The RelFinder can easily be configured to work with different RDF datasets. The RelFinder can also be more deeply integrated with your project: Integrating the RelFinder See the following examples of how the RelFinder is integrated into other projects: Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. All tools on this website are research prototypes that might contain errors.