PPT-Approximated Provenance for Complex Applications

Author : jane-oiler | Published Date : 2015-12-02

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

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Approximated Provenance for Complex Applications: Transcript

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. 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. Mappings and Provenance. 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. . Session 1: Background. Luc Moreau. L.Moreau@ecs.soton.ac.uk. University . of Southampton. Session 1: Aims. In this session, you will learn about:. The notion of provenance. The Open Provenance Vision. 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. 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.. 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. . 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 . Wenchao. Zhou. *. , . Qiong. . Fei. *, . Arjun. . Narayan. *, . Andreas . Haeberlen. *, Boon . Thau. Loo*, Micah . Sherr. . *. University of Pennsylvania . . Georgetown University. http://snp.cis.upenn.edu/. Prof. Ravi Sandhu. Executive Director and Endowed Chair. April . 15, . 2016. ravi.sandhu@utsa.edu. www.profsandhu.com. . © Ravi Sandhu. World-Leading Research with Real-World Impact!. CS 6393 Lecture . Interpreting detrital zircon provenance in the context of regional stratigraphic and tectonic models: an example from Late Ordovician–Early Devonian cover rocks on Ganderia, eastern Maine Allan Ludman, John Aleinikoff, Bill Devlin . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. 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.

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