In the Semantic Web, the Web Ontology Language (OWL) vocabulary is used for the representation of formal ontologies, while the Simple Knowledge Organisation System (SKOS) is a vocabulary designed for thesauri or concept taxonomies without formal semantics. Despite their different nature, on the Web these two vocabularies are often used together. Here, we try to explore and exploit the joint usage of OWL and SKOS. More precisely, we first define usage patterns to detect problematic modeling from

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... connections between SKOS and OWL. Next, we also investigate if additional information can be inferred from joint usage with SKOS in order to enrich semantic inferences through OWL alonealthough SKOS was designed without formal semantics, we argue for this heretic approach by applicability "in the wild": the patterns for modeling errors and inference of new information are transformed to SPARQL queries and applied to real world data from the Billion Triple Challenge 2014; we manually evaluate this corpus and assess the quality of the defined patterns empirically.