Linked Open Data (LOD) and Linked Open Vocabularies (LOV) deal with the definition of reusable concepts, models, and architectures that facilitate the integration of data and services on a web scale. With the ever-growing heterogeneity of available standards and implementation approaches, such integration faces various barriers that make this process costly and less effective in practice. Open and reusable vocabularies aim to lower these barriers by providing the foundations for conceptual annotations that allow the abstraction and bridging of concepts among different entities and domains in reusable, scalable and machine-readable manner. LOV, as one of the initiatives supporting the underlying paradigm, has emerged from the DataLift project and is supported by the Open Knowledge Foundation. LOV today represents the largest dataset that systematically gathers, analyzes and presents data about semantic vocabularies from different domains.