Basic Probabilistic Ontological Data Exchange with Existential Rules
Thomas Lukasiewicz, María Vanina Martínez, Livia Predoiu, Gerardo I. Simari
Abstract
Thomas Lukasiewicz, María Vanina Martínez, Livia Predoiu, Gerardo I. Simari
Abstract
We study the complexity of exchanging probabilistic data between ontology-based probabilistic databases. We consider the Datalog+/- family of languages as ontology and ontology mapping languages, and we assume different compact encodings of the probabilities of the probabilistic source databases via Boolean events. We provide an extensive complexity analysis of the problem of deciding the existence of a probabilistic (universal) solution for a given probabilistic source database relative to a (probabilistic) data exchange problem for the different languages considered.
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We study the complexity of exchanging probabilistic data between ontology-based probabilistic databases. We consider the Datalog+/- family of languages as ontology and ontology mapping languages, and we assume different compact encodings of the probabilities of the probabilistic source databases via Boolean events. We provide an extensive complexity analysis of the problem of deciding the existence of a probabilistic (universal) solution for a given probabilistic source database relative to a (probabilistic) data exchange problem for the different languages considered.
Key concepts: Probabilistic logic, Probabilistic database, Datalog, Computer science, Probabilistic relevance model, Ontology, Theoretical computer science, Probabilistic CTL