{"id":2797,"date":"2016-06-25T05:54:33","date_gmt":"2016-06-25T05:54:33","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=2797"},"modified":"2016-06-25T05:54:33","modified_gmt":"2016-06-25T05:54:33","slug":"week-5-reproducibility-of-script-based-workflows","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/workflow-reproducibility\/week-5-reproducibility-of-script-based-workflows\/","title":{"rendered":"Week 5: Reproducibility of Script-Based Workflows"},"content":{"rendered":"

This past week was spent exclusively\u00a0on solving some issues related to missing facts due to the mismatch between\u00a0the annotation in view rules and in script. Additionally,\u00a0I focused on\u00a0adding the missing outputs and changing some\u00a0block names\u00a0in YW\u00a0workflow for LIGO. After modifying rules in\u00a0represent facts, the main task was to work on discovering the dependency of input and output using\u00a0recursive query in Prolog which is inspired by existing YW-NW queries.<\/p>\n

The second task is to spend time on reading the Science article that talks about Transparency and Openness Promotion (TOP) guidelines and discuss some research ideas\u00a0for an advanced \u201cprovenance analyzer\u201d such as using possible worlds (PWs) semantics to describe and query all situations that are consistent with the given set of observations \u00a0and apply the use of Allen\u2019s Interval Algebra (cf. RCC-5) and ASP in\u00a0provenance analyzer.<\/p>\n

Next week’s task will include some challenging queries such as computing the LCA of two output nodes, as well as comparing the SQL query vs Prolog query for the information discovery.<\/p>\n","protected":false},"excerpt":{"rendered":"

This past week was spent exclusively\u00a0on solving some issues related to missing facts due to the mismatch between\u00a0the annotation in view rules and in script. Additionally,\u00a0I focused on\u00a0adding the missing outputs and changing some\u00a0block names\u00a0in YW\u00a0workflow for LIGO. After modifying rules in\u00a0represent facts, the main task was to work on Continue reading Week 5: 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\/2797"}],"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=2797"}],"version-history":[{"count":1,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/2797\/revisions"}],"predecessor-version":[{"id":2798,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/2797\/revisions\/2798"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=2797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=2797"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=2797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}