4. Quelques applications et outils RDF
From MIKE2.0 Methodology Introduction The Semantic Enterprise Solution Offering provides a layer for the enterprise to establish coherence, consistency, and interoperability across its information assets. Applicable information assets may range fully from structured to unstructured (text and document) sources. The methodology of this Offering is: Semantic Enterprise Composite Offering Semantic Enterprise Composite Offering
Structured Dynamics is an innovative software and consulting company dedicated to maturing semantic technologies for the enterprise. Our Open Semantic Framework (OSF) is a complete open-source expression of these innovations. As our testimonials attest, SD's services, training, products and ontologies address the challenge of bringing semantic interoperability to the organization. We identify and use the best where it exists; we fill gaps with our own developments and products where it does not. Structured Dynamics Structured Dynamics
Web sémantique

Exporter ses données en RDF
janvier 18th, 2010 · 4 Comments · Vous êtes l’entier propriétaire des données que vous produisez sur pearltrees. A tout moment, vous pouvez récupérer votre organisation du web dans un format standard qu’est le RDF. Plus d’info sur son compte pearltrees ?

Plus d’info sur son compte pearltrees ?

RDF Schemas Directory SchemaWeb is a directory of RDF schemas expressed in the RDFS, OWL and DAML+OIL schema languages. SchemaWeb is a place for developers and designers working with RDF. It provides a comprehensive directory of RDF schemas to be browsed and searched by human agents and also an extensive set of web services to be used by software agents that wish to obtain real-time schema information whilst processing RDF data. RDF Schemas are the critical layer of the Semantic Web. They provide the semantic linkage that 'intelligent' software needs to extract value giving information from the raw data defined by RDF triples. SchemaWeb gathers information about schemas published on the web. RDF Schemas Directory


RelFinder - Interactive Relationship Discovery in RDF Datasets 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. RelFinder - Interactive Relationship Discovery in RDF Datasets
Generating RDF from data.gov - Data-gov Wiki 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.

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. Build Your Own NYT Linked Data Application

Build Your Own NYT Linked Data Application