PPT-The Semiring Framework for Database Provenance

5212018 1 UW Val Tannen University of Pennsylvania 5212018 2 UW Collaborators ORCHESTRA . 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.. . Lipstick. . on. . Pig:. Enabling. . Database-styleWorkflow. Provenance. YaelAmsterdamer,Susan. . B.Davidson,Daniel. . Deutch. Tova. . Milo,Julia. . Stoyanovich,ValTannen. Using slides by . Guozhang. Provenance-aware Databases using PROV and JSON. Dieter . Gawlick. , Zhen Hua Liu, . Vasudha. . Krishnaswamy. Oracle Corporation. Raghav. Kapoor, Boris . Glavic. Illinois Institute of Technology. Venkatesh. 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,... Nate Foster . T.J. Green. Val Tannen. . University of Pennsylvania. PODS ’08. Vancouver, B.C.. June 11, 2008. Need to Track XML Provenance. For . scientific data . processing . [Buneman 08]. 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. 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. December 8, 2010. Dan Suciu -- CSEP544 Fall 2010. Outline. Database provenance. Slides based on Val . Tannen’s. Keynote talk at EDBT 2010. Data privacy. Slides from my UW colloquium talk in 2005. Dan Suciu -- CSEP544 Fall 2010.