{"id":1802,"date":"2016-11-04T18:00:36","date_gmt":"2016-11-04T18:00:36","guid":{"rendered":"http:\/\/www.mollieecheverria.com\/?p=1802"},"modified":"2017-05-07T20:18:05","modified_gmt":"2017-05-07T20:18:05","slug":"november-4-2016","status":"publish","type":"post","link":"https:\/\/www.mollieecheverria.com\/?p=1802","title":{"rendered":"November 4, 2016"},"content":{"rendered":"<div class='booster-block booster-read-block'>\n                <div class=\"twp-read-time\">\n                \t<i class=\"booster-icon twp-clock\"><\/i> <span>Read Time:<\/span>1 Minute, 51 Second                <\/div>\n\n            <\/div><h3>Project Overview for Rest of Semester and Spring<\/h3>\n<p>I am aiming to have a data model for the Whitney ready and approved by the first week of December.<\/p>\n<p>\u00a0Once the data model is established, I will query for name authority records for Provenance-related constituents.<\/p>\n<p>As far as where to find authority files for obscure early 20th century dealers and collectors, as I found researching back in September, VIAF seems to have the most consistent results.<\/p>\n<p>Worldcat\u2019s experimental Linked Data also has some great relationship content for records related to some of these constituents, though the type of the relationship is not necessarily well-defined: <a href=\"http:\/\/www.worldcat.org\/title\/ferargil-galleries-records-circa-1900-1963\/oclc\/888072546\">http:\/\/www.worldcat.org\/title\/ferargil-galleries-records-circa-1900-1963\/oclc\/888072546<\/a><\/p>\n<p>Getting data out of TMS\u2019 free-text Provenance field:<\/p>\n<p>Can use Python string matching to look for dates.<\/p>\n<p>Each provenance note in TMS is separated by a semicolon, making it easy to use Python to sort these notes into distinct events.<\/p>\n<p>The Carnegie Museum just puts their TMS Provenance info <a href=\"http:\/\/www.museumprovenance.org\/reference\/standard\/#level-three\">into a CIDOC \u201cP3_has_note\u201d field<\/a>, but it seems like they could easily extract more useful info from these.<\/p>\n<p>I could use either Python or MySQL to create updated JSON-LD URI files. I\u2019m not sure which method is easier at this point, but will have a better sense after doing more work in my Programming for Cultural Heritage\/Database Design classes. MySQL might make sense since SPARQL is SQL-like?<\/p>\n<p>All of these JSON-LD files can then be combined into an N-Triple file (the format used for Linked Jazz\u2019s data), and put into a triple store on the Whitney\u2019s server (which would solve the PHP redirection issue Joshua was having).<\/p>\n<p>After everything is online, if there is sufficient time left in the Spring semester, I would use the Whitney\u2019s URIs as the basis of some kind of visualization project to demonstrate how they can be used by the public.<\/p>\n<p>Specifically, it might be good to connect the Whitney\u2019s linked data with another museum\u2019s, the Smithsonian Renwick Gallery being the obvious example.<\/p>\n<p>The Smithsonian\u2019s artist URIs (<a href=\"http:\/\/edan.si.edu\/saam\/id\/person-institution\/176\">http:\/\/edan.si.edu\/saam\/id\/person-institution\/176<\/a>) could even be linked to in ours.<\/p>\n        <div class=\"booster-block booster-reactions-block\">\n            <div 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As far as where to find authority files for obscure early [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1802","post","type-post","status-publish","format-standard","hentry","category-whitney-journal"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mollie Echeverr\u00eda<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mollieecheverria.com\/?p=1802\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"amanda\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" 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