About DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Upcoming Events News Call for Ideas and Mentors for GSoC 2014 DBpedia + Spotlight joint proposal (please contribute within the next days)We started to draft a document for submission at Google Summer of Code 2014: are still in need of ideas and mentors. Making sense out of the Wikipedia categories (GSoC2013)(Part of our DBpedia+spotlight @ GSoC mini blog series) Mentor: Marco Fossati @hjfocs <fossati[at]spaziodati.eu> Student: Kasun Perera <kkasunperera[at]gmail.com> The latest version of the DBpedia ontology has 529 classes. The DBpedia Knowledge Base Within the
FOAF-a-matic — Describase a si mismo en RDF Escrito por Leigh Dodds. Traducido por Leandro Mariano López. Introducción FOAF-a-matic es una simple aplicación de Javascript que le permite crear un descripción FOAF ("Friend-of-A-Friend" o Amigo-de-un-Amigo) de si mismo. Puede leer más (en inglés) acerca de FOAF en el articulo de Edd Dumbill "XML Watch: Finding friends with XML and RDF", en the FOAF homepage on RDFWeb, y tambien the FOAF vocabulary description. Resumiendo, FOAF es una manera de describirse a uno mismo -- nombre, dirección de email, y la gente de quienes es amigo -- usando XML y RDF. FOAF-a-Matic le provee a usted una manera rápida y fácil de crear su propia descripción FOAF. Nota: nada de la información suministrada en esta página es usada o almacenada en ningún modo. Si tiene comentarios acerca de esta aplicación, u otras preguntas acerca de FOAF, por que no se une a la lista de correo RDFWeb-dev? Gente Que Conoce Informele a FOAF-a-matic acerca de la gente que conoce. Generate Results ¿Que Sigue?? License [FOAF Hackery]
D2R Server – Publishing Relational Databases on the Semantic Web D2R Server is a tool for publishing relational databases on the Semantic Web. It enables RDF and HTML browsers to navigate the content of the database, and allows querying the database using the SPARQL query language. It is part of the D2RQ Platform. 1. About D2R Server # D2R Server is a tool for publishing the content of relational databases on the Semantic Web, a global information space consisting of Linked Data. Data on the Semantic Web is modelled and represented in RDF. Requests from the Web are rewritten into SQL queries via the mapping. 2. Browsing database contents A simple web interface allows navigation through the database's contents and gives users of the RDF data a “human-readable” preview. Resolvable URIs Following the Linked Data principles, D2R Server assigns a URI to each entity that is described in the database, and makes those URIs resolvable – that is, an RDF description can be retrieved simply by accessing the entity's URI over the Web. Content negotiation 3. --fast # 4.
Open Data An introductory overview of Linked Open Data in the context of cultural institutions. Clear labeling of the licensing terms is a key component of Open data, and icons like the one pictured here are being used for that purpose. Overview[edit] The concept of open data is not new; but a formalized definition is relatively new—the primary such formalization being that in the Open Definition which can be summarized in the statement that "A piece of data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and/or share-alike."[2] Open data is often focused on non-textual material[citation needed] such as maps, genomes, connectomes, chemical compounds, mathematical and scientific formulae, medical data and practice, bioscience and biodiversity. A typical depiction of the need for open data: Creators of data often do not consider the need to state the conditions of ownership, licensing and re-use. I want my data back. See also[edit]
Derrick de Kerckhove Derrick de Kerckhove (born 1944) is the author of The Skin of Culture and Connected Intelligence and Professor in the Department of French at the University of Toronto, Canada. He was the Director of the McLuhan Program in Culture and Technology from 1983 until 2008. In January 2007, he returned to Italy for the project and Fellowship “Rientro dei cervelli”, in the Faculty of Sociology at the University of Naples Federico II where he teaches "Sociologia della cultura digitale" and "Marketing e nuovi media". He was invited to return to the Library of Congress for another engagement in the Spring of 2008.[1] He is research supervisor for the PhD Planetary Collegium M-node[2] directed by Francesco Monico. Background[edit] De Kerckhove received his Ph.D in French Language and Literature from the University of Toronto in 1975 and a Doctorat du 3e cycle in Sociology of Art from the University of Tours (France) in 1979. Publications[edit] Other works[edit] References[edit] External links[edit]
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)
The Makers of BlueOrganizer and SmartLinks 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
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:
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. 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. The glue that holds together the traditional document Web is the hypertext links between HTML pages. Literal Triples 3.
SemanticWebTools - W3C Wiki REDIRECT New SemanticWiki Tools Page As of 12:50, 14 January 2010, this page is no longer maintained and should not be changed. The content has been transferred to (Changes made here after the above date may not be reflected on the new page!) Please consult and possibly modify that page. Table of Contents: This page contains the information on RDF and OWL tools that used to be listed on the home pages of the RDF and OWL Working Groups at W3C. This Wiki page is only for programming and development tools. There are other pages on tool collection, largely overlapping with this, but possibly with a different granularity or emphasis. There are also separate pages maintained on this Wiki for: SPARQL implementations, set up by the SPARQL Working Group (although most of the information is present on this page, too) SPARQL "endpoints", examples of using SPARQL in exposing various data. Adobe's XMP Altova's SemanticWorks Amilcare Arity's LexiLink Asio Cerebra Server Rej
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