{"id":1763,"date":"2016-09-23T18:00:55","date_gmt":"2016-09-23T18:00:55","guid":{"rendered":"http:\/\/www.mollieecheverria.com\/?p=1763"},"modified":"2017-05-07T18:42:39","modified_gmt":"2017-05-07T18:42:39","slug":"september-23-2016","status":"publish","type":"post","link":"https:\/\/www.mollieecheverria.com\/?p=1763","title":{"rendered":"September 23, 2016"},"content":{"rendered":"
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\n \t<\/i> Read Time:<\/span>1 Minute, 15 Second <\/div>\n\n <\/div>

DBpedia and ULAN both seem to have richer sets of relationship properties than Wikidata, so they might be more useful resources to query. Robert Henri\u2019s DBpedia page, for instance, has \u201cmovement\u201d, \u201ctraining\u201d, \u201cinfluenced\u201d, \u201cinfluenced by\u201d, and \u201cseeAlso\u201d properties. Again, however, pulling data from DBpedia may be beyond my technical capacities at the moment.<\/p>\n

The first step for applying this process to Provenance would be to export the \u201cimoec_founding_collection_purchase\u201d package in TMS as a csv file. I haven\u2019t been able to figure out how to generate csv files from TMS yet, but this would be a starting point. I\u2019m just learning to search fields and export JSON files from csv files, so I should at least be able to start the process of cleaning a Provenance csv file.<\/p>\n

Python doesn\u2019t seem to be currently installed on my workspace computer, and I keep getting denied permission to install it on my user account. I\u2019m not sure whether it would be better to contact Whitney IT or simply to use my laptop for Python programming. I\u2019m more familiar with working with a Mac environment, so working on my laptop might be easier.<\/p>\n

Of note: the Carnegie Museum of Art was recently involved with a data-related project focused on provenance. It lead to the creation of a Ruby library for generating provenance records:<\/p>\n

http:\/\/www.museumprovenance.org\/<\/a><\/p>\n

https:\/\/github.com\/arttracks\/museum_provenance<\/a><\/p>\n

http:\/\/hyperallergic.com\/234563\/carnegie-museum-of-art-makes-its-provenance-accessible-and-interactive<\/a><\/p>\n

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DBpedia and ULAN both seem to have richer sets of relationship properties than Wikidata, so they might be more useful resources to query. Robert Henri\u2019s DBpedia page, for instance, has \u201cmovement\u201d, \u201ctraining\u201d, \u201cinfluenced\u201d, \u201cinfluenced by\u201d, and \u201cseeAlso\u201d properties. Again, however, pulling data from DBpedia may be beyond my technical capacities at the moment. The first […]<\/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-1763","post","type-post","status-publish","format-standard","hentry","category-whitney-journal"],"yoast_head":"\nMollie 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=1763\" \/>\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=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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