PPT-Open Provenance Model Tutorial

Session 6 Interoperability Session 6 Aims In this session you will learn about Steps towards interoperability Interoperability challenges Next steps towards achieving interoperability. 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.. 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. 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 . 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. Data Provenance Task Force. Lisa Gallagher, C. hair. January 6, 2015. Agenda. Opening Remarks: Steve Posnack, Director, Office of Standards and Technology. Use of FACA Task Forces. Comments from 11/18/14 HITSC Meeting. Redacting . DATA Provenance. TEAM:. AVIni SOGANI. VAISHNAVI SUNKU. VENUGOPAL BOPPA. Internet of things. Semantic web and provenance. Meaning behind anything you . say. Semantic . web is the platform that provides secure sharing of heterogeneous data on the web.. 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 . 5/21/2018. 1. UW. Val Tannen. University of Pennsylvania. . 5/21/2018. 2. UW. . Collaborators. . ORCHESTRA. . . 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.