Museum Ontology-Based Metadata
Abdolreza Hajmoosaei, Petra Skoric · 2016
Multiple data sources are used in a museum information system to store the specifications of heritage entities (e.g. collections, archive, literature, knowledge and presentation materials and maintenance data sources). The access and retrieval of cultural heritage information from these data sources often fails because of the heterogeneity nature of museum data. Semantic heterogeneity, which refers to the misinterpretation of data at the schema level, is a main issue in the retrieval of cultural heritage information from museum data sources. Ontology is an effective solution for reconciliation of semantic heterogeneity conflicts. Ontology enhances the explicit semantic information of data source. The building of the ontology is a process which needs the expert domain knowledge and a development methodology. In this paper, we focused on resolving the semantic heterogeneity among museum data sources. We use top level ontology architecture and build a museum top level ontology for resolving the problem of semantic heterogeneity among museum data sources. Subsequently as a case study, we build a local ontology for the heritage information relating to New Zealand World War soldiers.