{"id":64,"date":"2012-08-23T19:00:21","date_gmt":"2012-08-23T19:00:21","guid":{"rendered":"http:\/\/notebooks.dataone.org\/querying-provenance\/?p=64"},"modified":"2013-05-15T16:41:35","modified_gmt":"2013-05-15T16:41:35","slug":"week-8-report","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/workflow-provenance\/week-8-report\/","title":{"rendered":"Week 8 Report"},"content":{"rendered":"<p>Hi everyone,<\/p>\n<p>&nbsp;<\/p>\n<p>This week, RPQ in Datalog is finally online, the advantage of Datalog is that it can be easily extended to CRPQ. CRPQ is the combination of RPQs, which can be simply written down as a single datalog rule, along with some constains. This technique can be used to solve the duplicate problem: find the answer of one RPQ that doesn&#8217;t in another RPQ.<\/p>\n<p>Also we decide to do some bench-marking of existing systems of querying provenance. Different systems have different setup and learning curve. We want to find out how easy it is for someone to use an existing system to querying provenance from verybeginning.<\/p>\n<p>We started to use the version control system to keep track of the history of the code for better maintenance.<\/p>\n<p>&nbsp;<\/p>\n<p>Best,<br \/>\nTianhong<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hi everyone, &nbsp; This week, RPQ in Datalog is finally online, the advantage of Datalog is that it can be easily extended to CRPQ. CRPQ is the combination of RPQs, which can be simply written down as a single datalog rule, along with some constains. This technique can be used <a class=\"more-link\" href=\"https:\/\/notebooks.dataone.org\/workflow-provenance\/week-8-report\/\">Continue reading <span class=\"screen-reader-text\">  Week 8 Report<\/span><span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":31,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/64"}],"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\/31"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=64"}],"version-history":[{"count":1,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/64\/revisions"}],"predecessor-version":[{"id":997,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/64\/revisions\/997"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=64"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=64"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=64"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}