PPT-Annotated XML: Queries and Provenance

Nate Foster TJ Green Val Tannen University of Pennsylvania PODS 08 Vancouver BC June 11 2008 Need to Track XML Provenance For scientific data processing Buneman 08. 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. Citing in APA Format Sci 2/90 Fall 14. What is an Annotated Bibliography?. An . annotated bibliography . is an alphabetical listing of research sources accompanied by a narrative that summarizes and/or evaluates the research source.. 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. Ontologies. . to Query Meteorological Data . . Thiago Marcos da Silva Barbosa. ,. Ednaldo. O. . Santos. , Gustavo . B. . Lyra,. Sérgio . Manuel Serra da . Cruz. LabData. Federal Rural . University. 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. 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. Materialized Instances After Changes to Mappings and Data. Todd J. Green. Zachary G. Ives. ICDE ’12 Washington, DC April 2, 2012. &. Change is a Constant in Data Management. Databases are highly . Todd J. Green. University of Pennsylvania. March 25, 2009. @ ICDT 09, Saint Petersburg. The Need for Data Provenance. Many new database applications must track where data came from (as it is combined and transformed by queries, schema mappings, etc.): . Todd J. Green. University of Pennsylvania. Spring 2009 . The Case for a Collaborative . Data Sharing System (CDSS). Scientists build data repositories, need to share with collaborators. Goal: import, transform, modify (curate) each other’s 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. 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.