Knowledge Graph Construction and Refinement for Cultural Heritage Digital Libraries

Digital Libraries containing metadata of diverse cultural heritage objects are meant to be accessible not only to domain experts but also to the general population. This calls for information services that can provide ease and efficiency to search, retrieval and exploration. Knowledge graphs (KGs) are essential for representation, organization, integration, and analysis of hierarchical and heterogeneous information. However, most KGs suffer from incompleteness and inaccuracies. This work intends to address various challenges arising from construction and refinement of a KG populated with historical objects, by defining domain- and application-appropriate ontologies and leveraging approaches in information extraction (IE) for improving metadata quality.