Towards a decision support system for reading ancient documents
Identifieur interne : 000455 ( Istex/Corpus ); précédent : 000454; suivant : 000456Towards a decision support system for reading ancient documents
Auteurs : Henriette Roued-CunliffeSource :
- Literary and Linguistic Computing [ 0268-1145 ] ; 2010-12.
Abstract
Constructing readings of damaged and abraded ancient documents is a difficult, complex, and a time-consuming task. It frequently involves reference to a variety of linguistic and archaeological datasets and the integration of previous knowledge of similar documentary material. Due to the involved and lengthy reading process, it is often difficult to record and recall how the final interpretation of the document was reached and which competing hypotheses were presented, adopted, or discarded in the process of reading. This article discusses the development of the application called DUGA, which uses Decision Support System (DSS) technology to aid the day-to-day reading of damaged documents. Such an application will facilitate the process of transcribing texts by providing a framework in which scholars can record, track, and trace their progress. DUGA will include a word search facility of external resources such as the Vindolanda ink tablets through the knowledge base Web Service called APPELLO. This functionality will support the scholars through their reading process by suggesting words, which may confirm current interpretations or inspire new ones. Furthermore, DUGA will allow continuity between working sessions, and the complete documentation of the reading process, that has hitherto been implicit in published editions.
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DOI: 10.1093/llc/fqq020
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It frequently involves reference to a variety of linguistic and archaeological datasets and the integration of previous knowledge of similar documentary material. Due to the involved and lengthy reading process, it is often difficult to record and recall how the final interpretation of the document was reached and which competing hypotheses were presented, adopted, or discarded in the process of reading. This article discusses the development of the application called DUGA, which uses Decision Support System (DSS) technology to aid the day-to-day reading of damaged documents. Such an application will facilitate the process of transcribing texts by providing a framework in which scholars can record, track, and trace their progress. DUGA will include a word search facility of external resources such as the Vindolanda ink tablets through the knowledge base Web Service called APPELLO. This functionality will support the scholars through their reading process by suggesting words, which may confirm current interpretations or inspire new ones. Furthermore, DUGA will allow continuity between working sessions, and the complete documentation of the reading process, that has hitherto been implicit in published editions.</div></front></TEI><istex><corpusName>oup</corpusName><author><json:item><name>Henriette Roued-Cunliffe</name><affiliations><json:string>Centre for the Study of Ancient Documents, University of Oxford, UK</json:string><json:string>E-mail: henriette.roued@classics.ox.ac.uk</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Original Articles</value></json:item></subject><articleId><json:string>fqq020</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>research-article</json:string></originalGenre><abstract>Constructing readings of damaged and abraded ancient documents is a difficult, complex, and a time-consuming task. 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Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</copyright-statement><copyright-year>2010</copyright-year></permissions><abstract><p>Constructing readings of damaged and abraded ancient documents is a difficult, complex, and a time-consuming task. It frequently involves reference to a variety of linguistic and archaeological datasets and the integration of previous knowledge of similar documentary material. Due to the involved and lengthy reading process, it is often difficult to record and recall how the final interpretation of the document was reached and which competing hypotheses were presented, adopted, or discarded in the process of reading. This article discusses the development of the application called DUGA, which uses Decision Support System (DSS) technology to aid the day-to-day reading of damaged documents. Such an application will facilitate the process of transcribing texts by providing a framework in which scholars can record, track, and trace their progress. DUGA will include a word search facility of external resources such as the Vindolanda ink tablets through the knowledge base Web Service called APPELLO. This functionality will support the scholars through their reading process by suggesting words, which may confirm current interpretations or inspire new ones. 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