Using a Workflow Management Platform in Textual Data Management

Abstract The paper gives a brief introduction about the workflow management platform, Flowable, and how it is used for textual-data management. It relatively new with its first release on 13 October, 2016. Despite short time market, seems to be quickly well-noticed 4.6 thousand stars GitHub at moment. focus of our project build platform text analysis large scale by including many different resources. Currently, we have successfully connected four resources obtained more than one million works. Some are dynamic, which means that they might add data or modify their current data. Therefore, necessary keep data, both metadata raw from side up date In addition, comply FAIR principles, each work assigned persistent identifier (PID) indexed searching purposes. last step, perform some standard analyses enhance search engine generate knowledge graph. End-users can utilize get access Furthermore, submit code system. will executed High-Performance Cluster (HPC) users receive results later on. this case, Flowable take advantage PIDs digital objects identification facilitate communication HPC As may already notice, whole process expressed as workflow. A workflow, error handling notification, has been created deployed. Workflow execution triggered manually after predefined intervals. According evaluation, proves powerful flexible. Further usage planned implemented projects.