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RAIRO-Theor. Inf. Appl. (2008)
DOI: 10.1051/ita:2007043

Inf-datalog, modal logic and complexities

Eugénie Foustoucos1 and Irène Guessarian2

1  MPLA, National and Capodistrian University of Athens, Department of Mathematics, Panepistimiopolis, 15784 Athens, Greece; aflaw@otenet.gr
2  LIAFA, UMR 7089, Université Paris 7, case 7014, 2 Place Jussieu, 75251 Paris Cedex 5, France; ig@liafa.jussieu.fr


(Published online: 20 December 2007)

Abstract
Inf-Datalog extends the usual least fixpoint semantics of Datalog with greatest fixpoint semantics: we defined inf-Datalog and characterized the expressive power of various fragments of inf-Datalog in [I. Guessarian et al. Theor. Comput. Sci. 303 (2003) 103-133]. In the present paper, we study the complexity of query evaluation on finite models for (various fragments of) inf-Datalog. We deduce a unified and elementary proof that global model-checking (i.e. computing all nodes satisfying a formula in a given structure) has 1. quadratic data complexity in time and linear program complexity in space for CTL and alternation-free modal $\mu$-calculus, and 2. linear-space (data and program) complexities, linear-time program complexity and polynomial-time data complexity for $L\mu_k$ (modal $\mu$-calculus with fixed alternation-depth at most k).


Mathematics Subject Classification. 68Q19, 03C13

Key words: Databases -- model-checking -- specification languages -- performance evaluation


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