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Facebook Twitter : About. DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. : About

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. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself. News DBpedia Version 2014 releasedHi all, we are happy to announce the release of DBpedia 2014. DBpedia Spotlight V0.7 releasedDBpedia Spotlight is an entity linking tool for connecting free text to DBpedia through the recognition and disambiguation of entities and concepts from the DBpedia KB. The DBpedia Knowledge Base Knowledge bases are playing an increasingly important role in enhancing the intelligence of Web and enterprise search and in supporting information integration.

RelFinder - Interactive Relationship Discovery in RDF Datasets. Virtuoso SPARQL Query Form. New York Times - Linked Open Data. 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.

Build Your Own NYT Linked Data Application

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 ?? Semantic Web. Virtuoso SPARQL Query Form. Generating RDF from - Data-gov Wiki. From Data-gov Wiki Overview Many of the datasets in are available as tables (spreadsheets).

Generating RDF from - Data-gov Wiki

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.

To find more details, please go to The Problem Here is an example Properties include: <? <? Shapefile. Freebase.