'Database schemas' diaporamas de présentation

GETTING unstuck: working with legacy code and data

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Chapter 7: Relational Database Design

CS157B. Lecture 8 MVD. Chapter 7: Relational Database Design. Example R = ( student_id, student_name, course_id, course_name ) F = { student_id ? student_name, course_id ? course_name } { student_id, course_id } is a candidate key. F c = F R 1 = ( student_id, student_name )

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course: Database Systems ( A7B36DBS, Y36DBS, X36DBS )

course: Database Systems ( A7B36DBS, Y36DBS, X36DBS ). Lecturers: RNDr. Irena Mlynkova, Ph.D. & Mgr. Martin Necasky, Ph.D. Acknowledgement: The slides were kindly lent by Doc. RNDr. Tomas Skopal, Ph.D., Department of Software Engineering, Charles University in Prague.

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Semantic Web Technologies

Semantic Web Technologies . Web Site syllabus still developing http://www.ischool.utexas.edu/~i385t-sw Readings Discussion Discussion: What isn't the Semantic Web? Class work: Using feed reader applications and blog posting demonstrations Research Presentation Topics.

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Ontology-Driven Semantic Matches Between Database Schemas

Ontology-Driven Semantic Matches Between Database Schemas . Dennis McLeod and Sangsoo Sung Year: 2006. Presenter : Munish Chopra. Overview. Introduction Schema Matching Types of Ontology driven Matching Data D riven matching framework Semantic Driven Matching frameworks

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Database Systems {week 01}

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CHPS Era Archive/Data Backup

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