Combinations of the Semantic Web, Graph Databases, and Logic Programming are explored. Data are complemented by Knowledge (Ontologies and Rules). Graphs and Relations are integrated. The ensuing synergies cross-fertilize tools and techniques and contribute to eXplainable Artificial Intelligence and IT at large. As an example, representations of Cypher's Labeled Property Graphs in RDF and PSOA RuleML are discussed.