PPT-Where is my food from? Food provenance

Food provenance means where ingredients and the foods made from them originally come from Many consumers want to know where their food originated Where does our food come from Many ingredients and foods we eat are grown reared or caught in the UK. 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. 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. 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. . 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. 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. 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. . 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/. 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.