Desenclos 9 october 2012 a tei approach
-
Upload
historyspot -
Category
Technology
-
view
127 -
download
0
Transcript of Desenclos 9 october 2012 a tei approach
Rethinking historical research in the digital age: A TEI approach
Camille Desenclos (École nationale des chartes – Équipe d'accueil 3624)
2012, 9th october. – IHR Digital History Seminar
manuscript
printed
paper published
dematerialised
How managing the support transfer?
Modification of the historian work
Take benefit of the digital technologies by choosing them, not by suffering them
What relationship between historical research and computing tools?
E. Le Roy-Ladurie, “tomorrow's historian will be programmer or won't be” (1967)
-> rather dialoguing with the computer sicentist Danger of a overcomputerisation => keep the research in the heart of the historian work
Modification of the relationship with sources
Closer relationship
=> Precision required by digital technologies: understand the nature and meaning of the source.
How operate the transition from a manuscript source to a dematerialised tool? => source now as access point to informations. => edition's issue: conserve the integrity of the source but with a segmenting, semantic encoding (TEI).
Why should we face to this? The Text Encoding Initiative (TEI)
Need of a structured language Dedicated to the representation of text in digital
form A tool not only for publication but as well for data
structuring
Correspondences as perfect of the issues of digital transition
Two examples
Correspondence of the chancellor Antoine du Bourg (http://elec.enc.sorbonne.fr/dubourg/)
1535-1538, 1200 letters.
Stakes: - give back the coherency to a mass of informations
- collaborative project
Correspondence of the extraordinary embassy of the duke of Angoulême (still in development)
1620-1621, 87 letters.
Stakes: - give back the coherency
- manage a huge critical apparatus
What rendering? TEI edition as publication HTML vs TEI
=> edition: transition from a publication tool to a real study object
What added-values ? TEI edition as study object
<persName xml:id="l-1-HenriII" ref="#HenriII-Lorraine">duc de Lorraine</persName>
<person xml:id="HenriII-Lorraine" corresp="#l-I-HenriII-Lorraine #l-1-HenriII #l-2-HenriII #l-4-HenriII #l-6-HenriII"> <persName>Henri II le Bon de Lorraine</persName> <birth>1563</birth> <death>1624</death> <state> <p>duc de Lorraine</p> </state> <event> <p>Il fait ses premières armes par la poursuite et la défaite des troupes allemandes qui étaient entrées en Lorraine et en France pour le secours des protestants lors des guerres de religion. Cependant après la défenestration de Prague, il garde une position neutre et tente de jouer un rôle d'apaisement auprès des différents belligérants.</p> </event> </person>
Normalised form
Whole identification
Other references
=> link directly the name to the text and its context
=> study aim: network reconstitution
New scientific thinking by using TEI: highlighting the datas and thinking about their historical utilisation
Example of names identification
What added-values? TEI as study object Example of critical apparatus
- lemma identification
What added-values? TEI as study object Example of critical apparatus
- Establishment of a typology Major TEI elements <app>: classic variants <add>: addition <del>: suppression <subst>: correction within the source <supplied>: supplied text <gap>: text omitted in the source <choice>: correction by the editor <unclear> : text partly illegible Major TEI attributes @ reason @ extent @ place @ source
Some examples <subst> <del>monsieur de Preaux et moy</del> <add place="margin">monsieur d'Angoulesme et de Preaux</add> </subst> a<supplied source="#l-54-B" reason="damaged-margin">yons escript</supplied> <choice> <sic>28</sic> <corr source="#l-40-C #l-40-D #l-40-E #l-40-F #l-40-G #l-40-H">18</corr> </choice>
TEI impact on research
think not about text flow but about semantic units, historical informations => necessity of an study aim => collaborative work: research in motion To a direct relationship manuscript-digital without the paper transition? => native TEI edition => create a real semantic encoding But TEI isn't a wonderful world: what was impossible doesn't become automatically possible => example of ciphering
ŋ ?
=> loss of informations makes a close relationship to sources even more useful
Thank you for your attention!
For any further questions: [email protected]