Monitoring the status of cultural heritage for its preservation is a complex activity that can be performed by human experts with the support of technology. This complexity is due to the need of considering several related aspects: parts of buildings, materials, damages, environmental conditions, risk factors, etc. Querying this complex knowledge base could benefit from a very expressive ontology and an efficient technology support for reducing response times especially when implicit knowledge needs to be inferred in Web applications. We adopt the Cidoc4HeriwarD ontology as a benchmark to analyse two different technologies for storing and querying semantic data: an open source one based on relational data bases and a commercial solution with a native triple store.
Querying a complex web-based KB for cultural heritage preservation
Zimeo E.
2017-01-01
Abstract
Monitoring the status of cultural heritage for its preservation is a complex activity that can be performed by human experts with the support of technology. This complexity is due to the need of considering several related aspects: parts of buildings, materials, damages, environmental conditions, risk factors, etc. Querying this complex knowledge base could benefit from a very expressive ontology and an efficient technology support for reducing response times especially when implicit knowledge needs to be inferred in Web applications. We adopt the Cidoc4HeriwarD ontology as a benchmark to analyse two different technologies for storing and querying semantic data: an open source one based on relational data bases and a commercial solution with a native triple store.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
