International audienceCultural heritage (CH) resources are very diverse, heterogeneous , discontinuous and subject to possible updates and revisions in nature. The use of semantic web technologies associated with 3D graph-ical tools is proposed to improve the access, the exploration, the mining and the enrichment of this CH data in a standardized and more struc-tured form. This paper presents a new ontology-based tool that allows to visualize spatial clustering over 3D distribution of CH artifacts. The data that we are processing consists of the archaeological shipwreck "Xlendi, Malta", which was collected by photogrammtry and modeled by the Ar-penteur ontology. Following semantic web best practices, the produced CH dataset was published as linked open data (LOD)
