Baliabideak > evan sandhaus

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    En este video de 43´, Evan Sandhaus, responsable de la puesta en marcha del proyecto Linked Data en el New York Times explica cómo en el año 2009 el New York Times empezó a publicar sus datos utilizando los estándares de la Web semántica.

    Una de las explotaciones más interesantes en su explotación a través de la puesta en marcha de un buscador facetado para su fondo documental visible en . Es posible facetar por persona, localización, tema y columna del periódico.

    The New York Times committment to Linked Data began over 160 years ago. Starting in 1851, The New York Times has always catalogued its archival articles using a controlled vocabulary of people, places, organizations and descriptors. In 2009 The New York Times started publishing this vocabulary as linked data using semantic web standards.

    In 2011 The Times announced the launch of several RESTful Semantic APIs. And in late 2012 and early 2013, The Times will migrate its entire process for vocabulary management to a system designed around the principles of Linked Data. In my remarks, I will survey the history of Semantic publishing at The New York Times, outline our semantic strategy, detail the business-case for linked data at The Times and provide an in-depth explanation of our new vocabulary management system.


    KEYNOTE: Semantics at The New York Times.

    The keynote on this final day of the Semantic Technology Conference saw Robert Larson and Evan Sandhaus of the New York Times talk about the paper's innovative adoption of semantic technologies; " The first semantic search system for The New Times was released in 1913 and was available bound in either paper ($6) or cloth ($8). In the 96 years since the advent of The Historical Index to The New York Times, semantic technology has become central to The New York Times' daily operations and the focus of much internal research and development. In this keynote, Rob Larson, VP of Digital Production, and Evan Sandhaus, Semantic Technologist, will review the long history of semantic technology at The New York Times; discuss the application of this technology in our operations; and review an innovative initiative to enlist the global community in solving some of our toughest challenges."