Speaking with one voice: Encoding standards and the prospects for an integrated approach to computing in history
Identifieur interne : 000030 ( Main/Exploration ); précédent : 000029; suivant : 000031Speaking with one voice: Encoding standards and the prospects for an integrated approach to computing in history
Auteurs : Daniel Greenstein [Royaume-Uni] ; Lou Burnard [Royaume-Uni]Source :
- Computers and the Humanities [ 0010-4817 ]
Descripteurs français
- Wicri :
- topic : Histoire.
English descriptors
- KwdEn :
Abstract
Abstract: This paper focusses on the types of questions that are raised in the encoding of historical documents. Using the example of a 17th century Scottish Sasine, the authors show how TEI-based encoding can produce a text which will be of major value to a variety of future historical researchers. Firstly, they show how to produce a machine-readable transcription which would be comprehensible to a word-processor as a text stream filled with print and formatting instructions; to a text analysis package as compilation of named text segments of some known structure; and to a statistical package as a set of observations each of which comprises a number of defined and named variables. Secondly, they make provision for a machine-readable transcription where the encoder's research agenda and assumptions are reversible or alterable by secondary analysts who will have access to a maximum amount of information contained in the original source.
DOI: 10.1007/BF01830707
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<front><div type="abstract" xml:lang="eng">Abstract: This paper focusses on the types of questions that are raised in the encoding of historical documents. Using the example of a 17th century Scottish Sasine, the authors show how TEI-based encoding can produce a text which will be of major value to a variety of future historical researchers. Firstly, they show how to produce a machine-readable transcription which would be comprehensible to a word-processor as a text stream filled with print and formatting instructions; to a text analysis package as compilation of named text segments of some known structure; and to a statistical package as a set of observations each of which comprises a number of defined and named variables. Secondly, they make provision for a machine-readable transcription where the encoder's research agenda and assumptions are reversible or alterable by secondary analysts who will have access to a maximum amount of information contained in the original source.</div>
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