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DiSo Project Linked Data | Linked Data - Connect Distributed Data across the Web Linked 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.

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. 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. pulling in data from the web as you go.

SPARQL Endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. The package is licensed under W3C license, and it can be downloaded in .zip and .tar.gz formats from GitHub, also from PyPi or from Debian, and eventually from SourceForge where was previously hosted. The following packages are used: for JSON, the simplejson package (for Python < 2.6) for RDF, the RDFLib package These packages are imported in a lazy fashion, ie, only when needed. Developers involved: Here you have an example of how to use the library in your python program: You can also read online documentation for more information, or contact us at the rdflib-dev; the archives from the old mailing list are still available.

Planète Web Sémantique Documents numériques et métadonnées A la BnF, la numérisation est considérée depuis l'origine (début des années 1990) comme une technique de reproduction et de conservation à part entière des documents. Les choix de formats, de résolution, de prise de vue reflètent ce principe. La numérisation en mode image continue d’être une priorité car elle permet de proposer aux utilisateurs une reproduction fidèle du document original. Dès lors, la structure et l’organisation du document numérique sont traités selon des méthodes précises afin d’en assurer à la fois la communication et la conservation. L’ensemble des règles de numérisation sont regroupés dans la Charte technique de numérisation de la BnF. Un document numérique est une suite de fichiers sans lien entre eux, décrit par un identifiant unique englobant un ensemble de métadonnées : Métadonnées Une métadonnée est un ensemble structuré d'informations décrivant une ressource quelconque. Le schéma comprend 3 grandes parties : METS = Metadat Encoding and Transmission Standard

W3C Standards 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. See also: Tool Chains 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 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)

OWL API Top-Down: A New Approach to the Semantic Web Earlier this week we wrote about the classic approach to the semantic web and the difficulties with that approach. While the original vision of the layer on top of the current web, which annotates information in a way that is "understandable" by computers, is compelling; there are technical, scientific and business issues that have been difficult to address. One of the technical difficulties that we outlined was the bottom-up nature of the classic semantic web approach. Specifically, each web site needs to annotate information in RDF, OWL, etc. in order for computers to be able to "understand" it. As things stand today, there is little reason for web site owners to do that. But there are alternative approaches. In this post, we will look at the solution that we call the top-down approach to the semantic web, because instead of requiring developers to change or augment the web, this approach leverages and builds on top of current web as-is. Why Do We Need The Semantic Web? Conclusion

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