{"id":2783,"date":"2016-06-20T14:07:00","date_gmt":"2016-06-20T14:07:00","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=2783"},"modified":"2016-06-20T14:07:00","modified_gmt":"2016-06-20T14:07:00","slug":"week-4-reproducibility-of-script-based-workflows","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/workflow-reproducibility\/week-4-reproducibility-of-script-based-workflows\/","title":{"rendered":"Week 4: Reproducibility of Script-Based Workflows"},"content":{"rendered":"

 <\/p>\n

Week four consisted of handling some difficulties with running queries and suggesting non-Prolog\/Datalog queries.<\/p>\n

The first half of week, I got problem\u00a0in running queries because Logic Programming and Deductive Database system for Unix and Windows was not installed properly. After installation of XSB (Prolog programming language) was completed, I started creating queries against the YW model\u00a0and focused on various kind of\u00a0queries that we might \u00a0want to ask of the LIGO.<\/p>\n

The second half of week, we had a quick review of YN-NW demo script in Provenance week 2016 and discussed about setting up the environment to run to\u00a0yw-noworkflow images at Docker Hub, some ideas of generating\u00a0YW and NW facts to be exported as CSV files\u00a0using SQL queries instead of Prolog\/Datalog queries\u00a0such as tricky parameterized SQL.<\/p>\n

Next week, I\u2019ll\u00a0try to implement the demo queries (YW*NW) and check which one is easy or hard to be done in SQLite.<\/p>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

  Week four consisted of handling some difficulties with running queries and suggesting non-Prolog\/Datalog queries. The first half of week, I got problem\u00a0in running queries because Logic Programming and Deductive Database system for Unix and Windows was not installed properly. After installation of XSB (Prolog programming language) was completed, I Continue reading Week 4: Reproducibility of Script-Based Workflows<\/span>→<\/span><\/a><\/p>\n","protected":false},"author":104,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[371],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/2783"}],"collection":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/users\/104"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=2783"}],"version-history":[{"count":1,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/2783\/revisions"}],"predecessor-version":[{"id":2784,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/2783\/revisions\/2784"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=2783"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=2783"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=2783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}