Many different aspects should be taken into account when modeling real world domains: uncertainty, different closure assumptions, relationships, etc. The combination of logic and probability can be useful for modeling such domains, which are characterized by complex and uncertain relationships between entities. This tutorial will briefly introduce probabilistic logic programming and probabilistic description logic. Then it will present an approach for combining them, in order to admit both open and closed world assumption in uncertain, relational scenarios.