dc.contributor.author | Felicetti, Achille | en_US |
dc.contributor.author | Samaes, Melissa | en_US |
dc.contributor.author | Nys, Karin | en_US |
dc.contributor.author | Niccolucci, Franco | en_US |
dc.contributor.editor | Alessandro Artusi and Morwena Joly and Genevieve Lucet and Denis Pitzalis and Alejandro Ribes | en_US |
dc.date.accessioned | 2014-01-31T18:45:23Z | |
dc.date.available | 2014-01-31T18:45:23Z | |
dc.date.issued | 2010 | en_US |
dc.identifier.isbn | 978-3-905674-29-3 | en_US |
dc.identifier.issn | 1811-864X | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/VAST/VAST10/123-130 | en_US |
dc.description.abstract | This paper describes the advances in the development of the AnnoMAD System, a modular framework created by PIN and The Cyprus Institute for the management and the integration of free-text archaeological data and geographic information related to excavations. The system provides a free-text encoding tool able to annotate textual documentation using semantic features and a GIS integrated framework to capture the spatial descriptions and make them available in a geographical context. AnnoMAD is built using Open Source software. It leverages on the flexibility of CIDOC-CRM and RDF to create a layer of semantic metadata to be linked to the original documents, in order to preserve their integrity. Integration of the GML standard geographic language with CIDOC-CRM guarantees data interoperability and demonstrates that CIDOC-CRM can offer a valid schema that may be easily extended to incorporate geographic features and relations. AnnoMAD has been applied to a case-study concerning a Bronze Age excavation in Cyprus, the Hala Sultan Tekke archaeological site. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): Information Storage and Retrieval [H.3.5]: Web- based Services | en_US |
dc.title | AnnoMAD: A Semantic Framework for the Management and the Integration of Full-text Excavation Data and Geographic Information | en_US |
dc.description.seriesinformation | VAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage | en_US |