{"id":1785,"date":"2016-10-21T18:00:54","date_gmt":"2016-10-21T18:00:54","guid":{"rendered":"http:\/\/www.mollieecheverria.com\/?p=1785"},"modified":"2017-05-07T20:05:37","modified_gmt":"2017-05-07T20:05:37","slug":"october-21-2016","status":"publish","type":"post","link":"https:\/\/www.mollieecheverria.com\/?p=1785","title":{"rendered":"October 21, 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, 48 Second                <\/div>\n\n            <\/div><h3>More on the database\/triple store issue<\/h3>\n<ul>\n<li>objectJSONLD.py &amp; artistJSONLD.py &#8211; script used to create JSON-LD files from CSV (using Python application PyLD)<\/li>\n<li>Is it better to just focus on the CSV files rather than the MySQL database?<\/li>\n<li>Either CSV files or SQL could be used to generate triples. Does it make more sense to just generate and host JSON-LD files, or continue Joshua\u2019s dual PHP\/JSON-LD method?\n<ul>\n<li><a href=\"https:\/\/www.w3.org\/wiki\/ConverterToRdf%23SQL\">https:\/\/www.w3.org\/wiki\/ConverterToRdf#SQL<\/a><\/li>\n<li><a href=\"https:\/\/www.w3.org\/wiki\/ConverterToRdf%23CSV_.28Comma-Separated_Values.29\">https:\/\/www.w3.org\/wiki\/ConverterToRdf#CSV_.28Comma-Separated_Values.29<\/a><\/li>\n<\/ul>\n<\/li>\n<li>Used to have a Google Refine plugin (seems to be dead now that Google Refine is OpenRefine)\n<ul>\n<li><a href=\"https:\/\/www.w3.org\/wiki\/RdfAndSql\">https:\/\/www.w3.org\/wiki\/RdfAndSql<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>Ontologies<\/h3>\n<h4>Carnegie Museum<\/h4>\n<ul>\n<li>Prof. Miller suggested looked at the Carnegie Museum\u2019s modeling of provenance:\n<ul>\n<li><a href=\"http:\/\/www.museumprovenance.org\/reference\/standard\/\">http:\/\/www.museumprovenance.org\/reference\/standard\/<\/a><\/li>\n<li><a href=\"https:\/\/docs.google.com\/document\/d\/1R8u3VQ0wF6Ss-7ajA-t9xYttoMNrBJRs7woNVUDP0gA\/edit?usp=sharing\">My summary of the article<\/a><\/li>\n<\/ul>\n<\/li>\n<li>I had previously looked at the visualization project they did related to this (<a href=\"http:\/\/hyperallergic.com\/234563\/carnegie-museum-of-art-makes-its-provenance-accessible-and-interactive\/\">http:\/\/hyperallergic.com\/234563\/carnegie-museum-of-art-makes-its-provenance-accessible-and-interactive\/<\/a>). Not sure if a similar idea would work for the Whitney, since the Founding Collection objects largely did not travel far from where they were made.<\/li>\n<li>Although CIDOC is more complicated to understand than the schema.org ontology, I am thinking it might make more sense for the Whitney, given that it is both the museum world standard, and that it has an event-based structure.<\/li>\n<\/ul>\n<h4>Modeling<\/h4>\n<ul>\n<li>Prof. Pattuelli suggests diagramming attributes using Gliffy to allow for deeper analysis of whatever data model ends up being used, as well to provide a visual for how everything is set up. She provided me with the login info for Linked Jazz\u2019s account.<\/li>\n<\/ul>\n<h4>Visualizing Provenance<\/h4>\n<ul>\n<li>I\u2019m thinking of doing a geotagging\/geography related project based on some of the Linked Jazz data for Prof. Miller\u2019s class, specifically constituent location data beyond place of birth\/death. I would then apply similar methodology to Whitney acquisition-related constituents if successful.<\/li>\n<li>The <a href=\"http:\/\/pic.nypl.org\/\">Photographers\u2019 Identities Catalog (PIC)<\/a>\u00a0project at NYPL is a good resource for looking at possible data sources to query for non-birth\/death places, although many of these are not in linked data form.<\/li>\n<\/ul>\n        <div class=\"booster-block booster-reactions-block\">\n            <div class=\"twp-reactions-icons\">\n                \n                <div class=\"twp-reacts-wrap\">\n                    <a react-data=\"be-react-1\" post-id=\"1785\" class=\"be-face-icons un-reacted\" href=\"javascript:void(0)\">\n                        <img decoding=\"async\" src=\"https:\/\/www.mollieecheverria.com\/wp-content\/plugins\/booster-extension\/\/assets\/icon\/happy.svg\" alt=\"Happy\">\n                    <\/a>\n                    <div class=\"twp-reaction-title\">\n                        Happy                    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PyLD) Is it better to just focus on the CSV files rather than the MySQL database? Either CSV files or SQL could be used to generate triples. Does it make more sense to just [&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-1785","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=1785\" \/>\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\" content=\"2 minutes\" 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