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Deductive databases
Making smart applications
                            Maroun Baydoun Inf 1312
Data: The backbone of applications
Large storage space   Performance issues   Administrative nightmares
Databases: The prime medium for data storage
SQL: Making dialogs with the database
SQL: The things we cannot express
Alternatives to standard SQL
Recursive SQL
Datalog: Asking questions and getting answers
Datalog rules




  The first atom/subgoal           Negation




                p :- q, not r.                The second atom/subgoal




The head
                    ‘Is true if’     AND
Datalog rules




‘p is true if q is true AND not r is true’
Datalog rules
Recursive rules
Datalog facts




                   predicate name (list of constants).




                                              A fact can only operate on
The name of the rule/relation             constants. No variables are allowed
  to which the fact belongs
Example facts
Datalog queries




             ?- predicate name (list of constants/variable).




                                           A query can have either constants or
The name of the rule/relation               variables or both depending on its
to which the query is related                              type
Example queries
Deductive databases: When databases meet
                 Datalog
Deductive databases usage
Tools and technologies used
Oracle MultiMedia
Oracle MultiMedia
IRIS Reasoner
Sesame




         .
The proposed solutions for the problems
The proposed solutions for the problems
Overview of the application
Overview of the application
The idea behind the application
The application’s brain
The application’s brain
The application’s brain
The application’s architecture
The application’s architecture
The database design
Deductive Databases Presentation
Deductive Databases Presentation
Deductive Databases Presentation

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