PPT-Provenance Research
Author : frogspyder | Published Date : 2020-08-28
Raju Todd Elsethagen Eric Stephan 1 Pacific Northwest National Laboratory Richland WA Provenance Goals Provenance Overarching Goals Provide thorough results explanation
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Provenance Research: Transcript
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. a . experiment was . run. . The . provenance of an experiment is its lineage or historical trace . [7] . that can capture experiment conditions, time ordering, and relationships within the experiment and across the experiment and infrastructure layer.. 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. 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. English Slot Filling . Mihai Surdeanu. with a lot help from: . Hoa. Dang, Joe Ellis, . Heng. . Ji. , and Ralph . Grishman. Introduction. Slot filling (SF): extract values of specified attributes for a given entity from a large collection of natural language texts. . 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 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. : . 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. 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.): . 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 5/21/2018. 1. UW. Val Tannen. University of Pennsylvania. . 5/21/2018. 2. UW. . Collaborators. . ORCHESTRA. . . 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.
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