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    A deductive database system is a database system which can make deductions (ie: infer additional rules or facts) based on and facts stored in the (deductive) database.Deductive database systems:
      Mainly deal with rules and facts.
      Use an inference engine which can deduce new facts and rules from those given.
    A good example of a declarative language would be prolog, but for databases “datalog” is used more often.
    Datalog is both a syntactic subset of prolog and a database query language – it is designed specifically for working with logic and databases.
    Deductive databases are also known as: logic databases, knowledge systems and inferential databases.
    The problem domain of an expert system / deductive database is usually quite narrow.
    Deductive databases are similar to expert systems - “traditional” expert systems have assumed that all the facts and rules they need (their knowledge base) will be loaded into main memory, whereas a deductive database uses a database (usually on disk storage) as its knowledge base. Traditional expert systems have usually also taken their facts and rules from a real expert in their problem domain, whereas deductive databases find their knowledge inherent in the data.
    Deductive databases and expert systems are mainly used for:
      Replicating the functionality of a real expert.
      Knowledge discovery (finding new relationships between data).


        Deductive database
            Reference
            See also

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    Reference
    Author: Elmasri and Navathe Title: Fundamentals of database systems (3rd edition) Publisher: Addison-Wesley Longman ISBN 0-201-54263-3

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    See also



     
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    Scientus.org Dictionary (Yet Another Wiki) RC : 1.39
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    This article is licensed under the GNU Free Documentation License [copyleft]. It uses material from the Wikipedia article "Deductive database". link