The amounts of information residing on web sites make users' navigation a hard task. To address this problem, web sites provide recommendations to the end users, based on similar users' navigational patterns mined from past visits. In this paper we introduce a recommendation method, which integrates usage data recorded in web logs, and the conceptual relationships between web documents. In the proposed framework, the usage-oriented URI representation of web pages and users' behavior is augmented with content-based semantics expressed using domain-ontology terms. Since the number of multilingual web sites is constantly increasing, we also propose an automatic method for uniformly characterizing a web site's documents using a common vocabulary. Both methods are integrated in the semantic web personalization system SEWeP.