PPT-Querying Workflow Provenance

Susan B Davidson University of Pennsylvania Joint work with Zhuowei Bao Xiaocheng Huang and Tova Milo Provenance in Scientific Workflows Scientific workflow systems Automate the execution of scientific workflows. Key components of the business plan. Customers. Who will use your product. Who will see value in it. Channel. How you plan to reach these customers / users. Key resources / skills. What do you need to make sure that you can keep servicing your customer. Susan B. . Davidson. University of Pennsylvania. Eleanor . Ainy. , Daniel . Deutch. , . Tova. Milo. Tel Aviv University. The engagement of crowds of Web users for data procurement and knowledge creation.. Murali. Mani, . Mohamad. . Alawa. , . Arunlal. . Kalyanasundaram. University of Michigan, Flint. Presented at IDEAS 2011.. Provenance Metadata. Data about origins of data. Applications:. Check whether data item is valid – in health records. . Lipstick. . on. . Pig:. Enabling. . Database-styleWorkflow. Provenance. YaelAmsterdamer,Susan. . B.Davidson,Daniel. . Deutch. Tova. . Milo,Julia. . Stoyanovich,ValTannen. Using slides by . Guozhang. Middleware for Database Queries. , Updates, and . Transactions. Bahareh. Sadat . Arab. 1. , . Dieter . Gawlick. 2. , . Venkatesh. . Radhakrishnan. 2. , . Hao. . Guo. 1. , . Boris . Glavic. 1. . IIT DBGroup. Why – How . – . Where. What’s up with this presentation?. Cannibalized from:. Val . Tannen’s. EDBT and AMW 2010 tutorials. Peter . Buneman. and Wang-. Chiew. Tan’s SIGMOD 2007 tutorial. Julie and . . Session 6: Interoperability. Session 6: Aims. In this session, you will learn about:. Steps towards interoperability. Interoperability challenges. Next steps towards . achieving . interoperability. Bibi . Raju, Todd Elsethagen, Eric . Stephan. 1. Pacific Northwest National Laboratory, Richland, WA. Provenance Goals. Provenance Overarching . Goals. Provide thorough results explanation. Reuse, repeat, or reproduce workflows. Marc . Kemps-Snijders. Expected practices and interface descriptions. SOAP .  WSDL. XML-RPC  WSDL. REST  WADL, WSDL. Currently web services from a number of organizations:. RACAI. Tokenizing, lemmatizing, chunking, language identification,... HITPC Consumer Empowerment Workgroup Meeting. July 28, 2013.  . . . . . . Joy Pritts, JD. Data Provenance. What is “Provenance”? . Origin of clinical information when first created. Information about the source of the data. Workflow Group 2016 Overview and Highlights: Framework and Tools for Supporting Model Integrations and Analysis Group Leads: Dean N. Williams and Val Anantharaj Team Leads: Sasha Ames, Bibi Raju 5/21/2018. 1. UW. Val Tannen. University of Pennsylvania. . 5/21/2018. 2. UW. . Collaborators. . ORCHESTRA. . . Life Sciences . Linked Open Data Cloud. Ali . Hasnain et. al. Insight . Center for Data . Analytics. . National University of Ireland, . Galway. Agenda. Motivation. Linked Life Sciences Roadmap. Cataloguing and Linking. Raju, Todd Elsethagen, Eric . Stephan. 1. Pacific Northwest National Laboratory, Richland, WA. Provenance Goals. Provenance Overarching . Goals. Provide thorough results explanation. Reuse, repeat, or reproduce workflows.