Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM
Identifieur interne : 000293 ( Istex/Corpus ); précédent : 000292; suivant : 000294Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM
Auteurs : Ceri Binding ; Keith May ; Douglas TudhopeSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in conjunction with English Heritage and encompassed five differently structured relational databases containing various results of archaeological excavations. The aim of the exercise was to demonstrate the potential benefits in cross searching data expressed as RDF and conforming to a common overarching conceptual data structure schema - the English Heritage Centre for Archaeology ontological model (CRM-EH), an extension of the CIDOC Conceptual Reference Model (CRM). A semi-automatic mapping/extraction tool proved an essential component. The viability of the approach is demonstrated by web services and a client application on an integrated data and concept network.
Url:
DOI: 10.1007/978-3-540-87599-4_30
Links to Exploration step
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<Para>Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in conjunction with English Heritage and encompassed five differently structured relational databases containing various results of archaeological excavations. The aim of the exercise was to demonstrate the potential benefits in cross searching data expressed as RDF and conforming to a common overarching conceptual data structure schema - the English Heritage Centre for Archaeology ontological model (CRM-EH), an extension of the CIDOC Conceptual Reference Model (CRM). A semi-automatic mapping/extraction tool proved an essential component. The viability of the approach is demonstrated by web services and a client application on an integrated data and concept network.</Para>
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<Keyword>knowledge organization systems</Keyword>
<Keyword>mapping</Keyword>
<Keyword>CIDOC CRM</Keyword>
<Keyword>core ontology</Keyword>
<Keyword>semantic interoperability</Keyword>
<Keyword>semi-automatic mapping tool</Keyword>
<Keyword>thesaurus</Keyword>
<Keyword>terminology services</Keyword>
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<abstract lang="en">Abstract: Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in conjunction with English Heritage and encompassed five differently structured relational databases containing various results of archaeological excavations. The aim of the exercise was to demonstrate the potential benefits in cross searching data expressed as RDF and conforming to a common overarching conceptual data structure schema - the English Heritage Centre for Archaeology ontological model (CRM-EH), an extension of the CIDOC Conceptual Reference Model (CRM). A semi-automatic mapping/extraction tool proved an essential component. The viability of the approach is demonstrated by web services and a client application on an integrated data and concept network.</abstract>
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