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Introduction to the TPLP special issue, logic programming in databases: From Datalog to semantic-web rules
Much has happened in data and knowledge base research since the introduction
of the relational model in Codd (1970) and its strong logical foundations influence
its advances ever since. Logic has been a common ground where Database and
Artificial Intelligence research competed and collaborated with each other for a
long time (Abiteboul et al. 1995). The product of this joint effort has been a set of
logic-based formalisms, such as the Relational Calculus (Codd 1970), Datalog (Ceri
et al. 1990), Description Logics (Baader et al. 2007), etc., capturing not only the
structure but also the semantics of data in an explicit way, thus enabling complex
inference procedures.This special issue contains three rigorously reviewed articles addressing problems
that span from Query Answering to Data Mining. All these contributions have their
roots in the foundational formalisms of Data and Knowledge Bases such as Logic
Programming, Description Logic and Hybrid Logics, representing a clear example
of the effort that the Database and the Semantic-Web communities are producing to
bridge the various schools of thinking in modern Data and Knowledge Management
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