About this paper

Appears in:
Pages: 5000-5006
Publication year: 2014
ISBN: 978-84-617-0557-3
ISSN: 2340-1117

Conference name: 6th International Conference on Education and New Learning Technologies
Dates: 7-9 July, 2014
Location: Barcelona, Spain

AN IMAGE DATABASE FOR TEACHING DON QUIXOTE SUPPORTING TEXTUAL EDITIONS AT THE CERVANTES PROJECT

E. Urbina1, F. González Moreno2, L. Mandell1, D. Cortez1, D. Abraham1, S. Elmquist3

1Texas A&M University (UNITED STATES)
2Universidad de Castilla-La Mancha (SPAIN)
3Texas A&M University Libraries (UNITED STATES)
Hundreds of artists have illustrated the Quixote for almost 400 years. These illustrations re-imagine the text and aim to create visual representations capable of capturing complex narrative meanings, settings, and characterizations; they are both a useful critical device and an effective tool to represent in visual terms the often-illusory reality depicted by the words in the page.

Starting in 2003 with initial support from a grant from the National Endowment for the Humanities, we have created the first comprehensive digital archive based on the illustrations of the Quixote, taken from over 1,000 key editions published between 1640 and 2010: the "Textual Iconography of the Quixote" (http://dqi.tamu.edu). The archive contains over 50,000 high-resolution images fully indexed and documented. Beyond the goal of recovering the illustrated history of the Quixote, our objectives are a) to provide finding aids to make the archive a critical research tool, and b) to develop new visualization approaches and hybrid text/image editions to support the teaching of the Quixote in the digital age.

Our project is interdisciplinary and collaborative in the area of Digital Humanities. It brings together experts from Literature, Art History, Digital Libraries and Computer Science. We present here the textual taxonomy created for encoding sections of the text representing the various episodes and adventures consisting of 400 elements. This taxonomy, representing the logical narrative structure of the work in visual terms, provides the addressing mechanism by which illustrations, texts, and metadata can be associated with one-another automatically. Through manipulation of the structure of the taxonomic elements and through the use of appropriate mark-up language and tags we plan to connect the text to the images in a fully integrated and accessible manner.
@InProceedings{URBINA2014ANI,
author = {Urbina, E. and Gonz{\'{a}}lez Moreno, F. and Mandell, L. and Cortez, D. and Abraham, D. and Elmquist, S.},
title = {AN IMAGE DATABASE FOR TEACHING DON QUIXOTE SUPPORTING TEXTUAL EDITIONS AT THE CERVANTES PROJECT},
series = {6th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN14 Proceedings},
isbn = {978-84-617-0557-3},
issn = {2340-1117},
publisher = {IATED},
location = {Barcelona, Spain},
month = {7-9 July, 2014},
year = {2014},
pages = {5000-5006}}
TY - CONF
AU - E. Urbina AU - F. González Moreno AU - L. Mandell AU - D. Cortez AU - D. Abraham AU - S. Elmquist
TI - AN IMAGE DATABASE FOR TEACHING DON QUIXOTE SUPPORTING TEXTUAL EDITIONS AT THE CERVANTES PROJECT
SN - 978-84-617-0557-3/2340-1117
PY - 2014
Y1 - 7-9 July, 2014
CI - Barcelona, Spain
JO - 6th International Conference on Education and New Learning Technologies
JA - EDULEARN14 Proceedings
SP - 5000
EP - 5006
ER -
E. Urbina, F. González Moreno, L. Mandell, D. Cortez, D. Abraham, S. Elmquist (2014) AN IMAGE DATABASE FOR TEACHING DON QUIXOTE SUPPORTING TEXTUAL EDITIONS AT THE CERVANTES PROJECT, EDULEARN14 Proceedings, pp. 5000-5006.
User:
Pass: