A STELLAR Role for Knowledge Organization Systems in Digital Archaeology.
Research data in archaeology is being made more accessible through the semantic efforts of the STAR and STELLAR projects of two United Kingdom universities. The goal of STAR (Semantic Technologies for Archaeological Resources) is to facilitate semantic interoperability, enabling a structured semanti...
| Publicado en: | Bulletin of the American Society for Information Science & Technology Vol. 37; no. 4; pp. 15 - 19 |
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| Autores principales: | , , , , |
| Formato: | pictorial Journal Article |
| Publicado: |
Wiley-Blackwell
Apr/May2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104704663&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104704663 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19316550 BSI jtl: Bulletin of the American Society for Information Science & Technology issn: 19316550 maglogo: Y pubinfo: dt: Apr/May2011 vid: 37 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104704663 66722927 10.1002/bult.2011.1720370405 104704663 ppf: 15 ppct: 4 formats: fmt: @attributes: type: P tig: atl: A STELLAR Role for Knowledge Organization Systems in Digital Archaeology. aug: au: Tudhope, Douglas Binding, Ceri Jeffrey, Stuart May, Keith Vlachidis, Andreas affil: Professor, University of Glamorgan sug: subj: Anthropology United Kingdom Information Management Knowledge Databases Semantics Metadata Natural Language Processing United Kingdom ab: Research data in archaeology is being made more accessible through the semantic efforts of the STAR and STELLAR projects of two United Kingdom universities. The goal of STAR (Semantic Technologies for Archaeological Resources) is to facilitate semantic interoperability, enabling a structured semantic search of five databases and grey literature reports using an ontology of cultural heritage in combination with other knowledge organization systems. STAR employs natural language processing to identify key concepts and generate semantic metadata to support the unified search. STELLAR (Semantic Technologies Enhancing Links and Linked data for Archaeological Resources) takes the process a step further by simplifying the job of expressing excavation data in CRM ontology terms and then generating representations as linked data. The two projects demonstrate the effectiveness of semantic interoperability methods, coordinating data and vocabularies in a shared framework, and supporting the reuse of archaeological excavation data. pubtype: Academic Journal doctype: pictorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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