PPT-Provenance Research

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. 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. Oct. 17, 2011. CollaborateCom. Jaehong. Park, Dang Nguyen and Ravi . Sandhu. Institute for Cyber Security. University of Texas at San Antonio. 1. Institute for Cyber Security. Group-centric Collaboration. 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. : . From . Structured Summaries to Integrated Knowledge Base. ScAi Lab, CSD, UCLA. May 2014. Immense Knowledge From Web. Wikipedia. :. 280 + . languages. 20M + articles. 1B+ edits. DBpedia:. 110 + . languages. do, go, lead, drive.”. An . agenda. is a list of things to be done. An . agent. is usually someone who does things on behalf of another, just as an agency is a office that does business for others.. 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. Presentation to the HITSC on Data Provenance. September 10, 2014. Why do we need data provenance standards?. Health care providers need confidence in the authenticity and integrity of health data they review/access/receive. . 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. Todd J. Green. Grigoris Karvounarakis Zachary G. Ives Val Tannen. University of Pennsylvania. VLDB 2007 Vienna, Austria. September 26, 2007. Adoption of data integration tools. Structured information . 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.