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The Expressive Power of Higher-Order Datalog

Published online by Cambridge University Press:  20 September 2019

ANGELOS CHARALAMBIDIS
Affiliation:
Institute of Informatics and Telecommunications, NCSR “Demokritos”, Greece (e-mail: [email protected])
CHRISTOS NOMIKOS
Affiliation:
Dept of Computer Science and Engineering, University of Ioannina, Greece (e-mail: [email protected])
PANOS RONDOGIANNIS
Affiliation:
Dept of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece (e-mail: [email protected])

Abstract

A classical result in descriptive complexity theory states that Datalog expresses exactly the class of polynomially computable queries on ordered databases (Papadimitriou 1985; Grädel 1992; Vardi 1982; Immerman 1986; Leivant 1989). In this paper we extend this result to the case of higher-order Datalog. In particular, we demonstrate that on ordered databases, for all k ≥ 2, k-order Datalog captures (k − 1)-EXPTIME. This result suggests that higher-order extensions of Datalog possess superior expressive power and they are worthwhile of further investigation both in theory and in practice.

Type
Original Article
Copyright
© Cambridge University Press 2019 

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