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New York Times - Linked Open Data

New York Times - Linked Open Data
For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. In 2009, we began to publish this vocabulary as linked open data. The Data As of 13 January 2010, The New York Times has published approximately ,10,000 subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions. The table below gives a breakdown of the various tag types and mapping strategies on data.nytimes.com.

http://data.nytimes.com/

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Term-based thesauri and SKOS (Part 1) I'm currently doing a piece of work on representing a thesaurus as linked data. I'm working on the basis that the output will make use of the SKOS model/RDF vocabulary. Some of the questions I'm pondering are probably SKOS Frequently Asked Questions, but I thought it was worth working through my proposed solution and some of the questions I'm pondering here, partly just to document my own thought processes and partly in the hope that SKOS implementers with more experience than me might provide some feedback or pointers. SKOS adopts a "concept-based" approach (i.e. the primary focus is on the description of "concepts" and the relationships between them); the source thesaurus uses a "term-based" approach based on the ISO 2788 standard. I found the following sources provided helpful summaries of the differences between these two approaches: In the SKOS (concept-based) model:

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. 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).

Nation's GDP The index predicts future real GDP growth (gross domestic product, adjusted for inflation) based on 11 leading economic and financial indicators. Four of the 11 indicators were positive in July, up from three in June. Positive indicators include hours worked, real capital goods orders, the real money supply and light-vehicle sales, all of which increased.

RDF-Gravity Sunil Goyal, Rupert Westenthaler {sgoyal, rwestenthaler}@salzburgresearch.at Salzburg Research, Austria RDF Gravity is a tool for visualising RDF/OWL Graphs/ ontologies. Its main features are: Graph VisualizationGlobal and Local Filters (enabling specific views on a graph) Full text SearchGenerating views from RDQL QueriesVisualising multiple RDF files

Download SPARQL results into spreadsheet Download SPARQL results into spreadsheet SPARQL endpoint: SPARQL query: PREFIX owl: < PREFIX xsd: < PREFIX rdfs: < PREFIX rdf: < PREFIX foaf: < PREFIX dc: < PREFIX : < PREFIX dbpedia2: < PREFIX dbpedia: < PREFIX skos: < Endpoints that have worked successfully with this form: YAGO-NAGA - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) AIDA is a method, implemented in an online tool, for disambiguating mentions of named entities that occur in natural-language text or Web tables. AMIE (Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases) is a joint project with the Ontologies group. ANGIE is an active knowledge system for interactive exploration. DEANNA is a framework for natural language question answering over structured knowledge bases. HYENA is a multi-label classifier for entity types based on hierarchical taxonomies derived from YAGO2.

Jobs growth forecast Economic consulting firm Moody's Analytics has forecasted U.S. job growth by geographic region and by industry. This interactive was updated Aug. 27, 2012. We will update it each month. This graphic shows actual job growth through second-quarter 2012 and Moody's Analytics' forecasted job growth for third-quarter 2012 through second-quarter 2016. Exhibit 3.0 Project Getting Involved Join us on IRC on freenode or browse the SIMILE Widgets mailing list archives to ask questions about Exhibit. Chances are others may have similar questions, and the list is a great place to share answers. Background The Exhibit 3 project was supported by the Library of Congress. It is a partnership among MIT Libraries, MIT CSAIL and Zepheira, including personnel from the original SIMILE project.

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