PPT-Managing Uncertainty of XML Schema Matching
Author : ellena-manuel | Published Date : 2018-01-11
Reynold Cheng Jian Gong David W Cheung ICDE2010 2 2 The data integration problem Querying the source data through target query interface Eg querying multiple
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Managing Uncertainty of XML Schema Matching: Transcript
Reynold Cheng Jian Gong David W Cheung ICDE2010 2 2 The data integration problem Querying the source data through target query interface Eg querying multiple data sources through a mediate query interface. Bernstein Erhard Rahm 1 University of Washington Microsoft Corporation University of Leipzig jayantcswashingtonedu philbemicrosoftcom rahminformatikunileipzigde Abstract Schema matching is a critical step in many applica tions such as XML message ma Bernstein Erhard Rahm 1 University of Washington Microsoft Corporation University of Leipzig jayantcswashingtonedu philbemicrosoftcom rahminformatikunileipzigde August 2001 Technical Report MSRTR200158 Microsoft Research Microsoft Corporation One Mi These are described below and co ntrasted with standard managerial approaches What Expert Entrepreneurs Do in Uncertainty Standard Managerial Approaches Managerial Questions for Dealing with Uncertainty 1 Where to Start Assess Your Means Take action Individual Matching Controls are matched to cases on one or more attributes (i.e. age, gender, smoking status, etc). Each case/control pair then has identical values on the matching factors. Requi transformation in IGN France. d. ominique.laurent@ign.fr. 21-22. /10/2014. Program. General strategy. M. atching . tables. D. esign. Use . Computer process. 01. . Gener. Al Strategy. For first phase, . . Tomer Sagi . and Avigdor Gal. Technion. - Israel Institute of Technology. Non-binary Evaluation. for Schema Matching. Presentation. @ ER 2012. October. 2012, Florence Italy. Presentation Outline. Philip A. Bernstein Microsoft Corp.. Jayant . Madhavan. Google. Erhard Rahm Univ. of Leipzig. Copyright © 2011 Microsoft Corp.. The . problem of generating . correspondences between . January 23, 2011 AMS Meeting. AMS SHORT COURSE:. HYDROLOGIC PREDICTION AND VERIFICATION TECHNIQUES. WITH A FOCUS ON WATER SUPPLY. 2. Introduction to the Federal Columbia River Power System and the Bonneville Power Administration. Mapping Culture Semantically with . CIDOC-CRM & 3M. CRM SIG. Maria . Theodoridou. Foundation for Research and Technology – Hellas. Institute of Computer Science . . A . reference model . for a better practice of . Agenda. Change at UT. The Impact of Temperament. Models for . Change. Strategies. Communication. Resilience. When . we are no longer able to change a situation - we are challenged to change ourselves. . Statement of the problem. Two sides of the market to be . matched.. Participants . on . both sides care about to whom they are matched.. M. oney can’t . be used to . determine . the assignment. .. Examples . SCREAMA FOR YOUR SCHEEEEMA. A schema is a mental representation of knowledge stored in the brain.. It is a network of knowledge, beliefs and expectations about particular aspects of the world.. How do we process schemas?. Online Catalogs. Hoa. Nguyen. Juliana Freire. University of Utah. Ariel . Fuxman. . Stelios. . Paparizos. Rakesh. . Agrawal. Microsoft Research. All major search engine companies provide an offering for . Florence A. . Ochanda. MA Counselling . Psychology. Webinar: Uncertain times: Managing Anxiety. Introduction. Understanding uncertainty. Features and impact of uncertainty. Understanding how uncertainty fuels anxiety.
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