INFT-867 --- Spring 1998 --- Dr. A. Motro --- 21 January 1998
Approximate Course Outline
Main subjects
(each subject will require about 2 meetings)
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Review of relational databases
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Basic definitions
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Languages
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Integrity constraints
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Null Values
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Database Semantics
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Knowledge-rich databases
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The Datalog approach
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What does knowledge mean?
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How can knowledge be stored in databases
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Basics of Datalog
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Cooperative databases
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Techniques for assisting users in the formulation of goals
and in the conversion of goals to good queries
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Assurance that queries correctly express goals
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Techniques that analyze apparently proper queries for
possible deficiencies in the goals that they express
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Epistemological (knowledge) queries and intensional answers
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Management of uncertain information
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Sources of uncertainty
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Current approaches
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Basic theoretical approaches popular in AI
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Quality of information
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The need for quality rating of information sources
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Using soundness and completeness to measure quality
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Intelligent integration of information
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Intensional (structural, schematic) vs.
extensional (contents, data) inconsistencies
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Known techniques for reconciling intensional inconsistencies
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The Multiplex multi-database model
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Harmony: reconciling extensional inconsistencies