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A CIDOC CRM – compatible metadata model for digital preservation
Panos Constantopoulos and Vicky Dritsou Information Systems and Databases Laboratory Department of Informatics Athens University of Economics and Business
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Structure of the presentation
Introduction to Digital Preservation Metadata Existing proposals A conceptual preservation metadata model Properties of the model Model concepts Schema The complete model Conclusion Further research Our research problem is the issue of supporting the web searching by using ontologies. We first give a few statistics about the use of the web today, while next we specify the problems that the current search engines are facing. We then present web catalogues, as they are already known and used. Following is the definition of ontologies and their categories and we especially give some information about the faceted classification schemes. Two main issues are discussed, ontology learning and ontology mapping, while the latter are further analyzed and classified into logic-based and distance-based mapping. Finally, we provide our research plan. 24 October 2006 CIDOC CRM Workshop
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Introduction to Digital Preservation (1/2)
Two types of perils for digital content exist Physical: physical destruction of file systems, corruption of digital media, fire, earthquake Technological: obsolete systems, non-compatible systems, software and formats Physical perils are more straightforward to confront By saving multiple copies of digital content: On different media At different geographic locations Technological hazards require a more complex policy to be applied By following the appropriate preservation strategy 24 October 2006 CIDOC CRM Workshop
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Introduction to Digital Preservation (2/2)
Digital preservation strategies for technological hazards Information migration Technology emulation Technology preservation Backwards compatibility Reliance on standards Encapsulation Transformation to non-digital form Digital archeology Most strategies require some information to be collected and stored This is achieved by using metadata 24 October 2006 CIDOC CRM Workshop
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Metadata Defined as “data for data” or otherwise “information about information” Metadata properties Not necessarily digital Not autonomous Digital information needs to pre-exist Supplementary Dynamic character Metadata types Descriptive Structural Administrative Preservation metadata They contain elements from all tree types But which metadata should we choose? 24 October 2006 CIDOC CRM Workshop
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Existing proposals Several approaches exist
We have studied five widely known ones: Dublin Core Open Archival Information Systems (OAIS) Curl Exemplars Digital Archives (CEDARS) Pittsburgh Project National Library of Australia (NLA) Discussion None contains inter-related concepts (element lists) DC: Access-oriented, inadequate OAIS, CEDARS: very detailed, difficult to use PP: detailed, necessary/optional elements, use instructions NLA: Structured elements, object types 24 October 2006 CIDOC CRM Workshop
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A conceptual preservation metadata model
A parsimonious metadata set derived from comparison of the afore-mentioned proposals CIDOC CRM Metadata elements Title - Information Carrier Identifier - Activity Subject - Right Language - Actor Type - Effect Format - History Technical Equipment Relations 24 October 2006 CIDOC CRM Workshop
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Properties of the model
Each element forms a concept Contains relationships among concepts Results in a conceptual model Compatible with CIDOC CRM A small number of new concepts Can serve as an application ontology A guide for preservation Independent from preservation strategy Elements contain all the information required from each strategy Further details can be added with the extension of concepts 24 October 2006 CIDOC CRM Workshop
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Model concepts (1/3) Main concept: Digital Object
Subclass of E73 Information Object Has attributes: Title, Subject, Type, Size, Identifier, Language, Digital Content Identifiers may be global or local Global identifiers must be unique Digital Content allows separation of content from descriptive/administrative aspects Stored in an Information Carrier Digital Objects can consist of other digital objects (Complex Objects) Type: image, text, sound, multimedia,… Each object type can be formatted in one of a number of specific formats 24 October 2006 CIDOC CRM Workshop
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Schema (1/3) 24 October 2006 CIDOC CRM Workshop
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Model concepts (2/3) Activities have digital objects as input and output, are carried out by Actors and are subject to Rights Activity types: Creation Deletion Modification Alteration Copy Read In all of them, except from Read and Deletion, we assume that the output is a new object We keep the sequence of performed Activities by assigning the appropriate attribute Effects can be used as a space-saving device when versions need not be kept 24 October 2006 CIDOC CRM Workshop
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Schema (2/3) 24 October 2006 CIDOC CRM Workshop
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Model concepts (3/3) Activities require the appropriate Technical Equipment to be performed Software Hardware These are all specializations of E71 Man-Made Thing The software needed depends on the Type and Format of the object Information carrier also requires Technical Equipment For reading the object For writing the object 24 October 2006 CIDOC CRM Workshop
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Schema (3/3) 24 October 2006 CIDOC CRM Workshop
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The complete model 24 October 2006 CIDOC CRM Workshop
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Conclusion Metadata elements drawn from existing metadata sets
Conceptual model for digital preservation Previous works included only lists of metadata elements Extensible as needed Compatible with CIDOC CRM Digital objects as digital surrogates of non-digital objects cultural objects by themselves 24 October 2006 CIDOC CRM Workshop
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Further research Historical processes: Preservation processes:
interpretation CIDOC CRM domain of application Preservation processes: decision and production processes Prescription and monitoring Explore differences in modelling requirements 24 October 2006 CIDOC CRM Workshop
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Thank you for your attention!
24 October 2006 CIDOC CRM Workshop
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