Martin Doerr

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been successfully used over the past seven years by an interdisciplinary team to create the International Committee for Documentation of the International Council of Museums (CIDOC) CONCEPTUAL REFERENCE MODEL (CRM), a high-level ontology to enable information integration for cultural heritage data and their correlation with library and archive information.(More)
The tutorial first addresses requirements and semantic problems to integrate digital information into large scale, meaningful networks of knowledge that support not only access to source documents but also use and reuse of integrated information. The pros and cons of developing global ontologies are discussed. It is argued that core ontologies of(More)
This paper elaborates on the problem of modeling provenance for both physical and digital objects. In particular it discusses provenance according to OAIS (ISO 14721:2003) and how it relates with the conceptualization of CIDOC CRM ontology (ISO 21127:2006). Subsequently it introduces an extension of the CIDOC CRM ontology, able to capture the modeling and(More)
Even though the Dublin Core Metadata Element Set is well accepted as a general solution, it fails to describe more complex information assets and their cross-correlation. These include data from political history, history of arts and sciences, archaeology or observational data from natural history or geosciences. Therefore IFLA and ICOM are merging their(More)
Cultural heritage institutions are fantastic resources of multimedia content. Rich metadata structures, able to capture the diversity of the media, the subject matter and the context around each information asset, are required to make this content accessible. This paper describes how the CIDOC CRM Core format can be used to structure cultural heritage(More)
A rich semantic model of annotation is presented that distinguishes several annotation types, uses controlled vocabulary where appropriate, and supports multi-facetted characterization of documents, annotation of parts of documents as well as of entire documents, and annotation of document associations besides annotation of single documents. This model has(More)