Precious collections of cultural heritage documents are available for study on the internet via web archives. The automatically added metadata on these scanned documents, are not sufficient to make a specific search. User effort is needed to add manual annotations in order to enhance document content accessibility and exploitability. Annotators have different experiences in dissimilar manuscript domains. Hence the reuse of users’ experiences is constructive to accelerate the annotation process and to correct user mistakes. In this article we present our digital archive model and a prototype to collaboratively annotate online ancient manuscripts. Our system tracks important user actions, and saves them as traces composed of hierarchical episodes. These episodes are considered as cases to be reused by a recommender system.
%0 Book Section
%1 doumat2010tracebased
%A Doumat, Reim
%A Egyed-Zsigmond, Elöd
%A Pinon, Jean-Marie
%B Case-Based Reasoning. Research and Development
%C Berlin/Heidelberg
%D 2010
%E Bichindaritz, Isabelle
%E Montani, Stefania
%I Springer
%K archive digital recommender web
%P 360-374
%R 10.1007/978-3-642-14274-1_27
%T User Trace-Based Recommendation System for a Digital Archive
%U http://dx.doi.org/10.1007/978-3-642-14274-1_27
%V 6176
%X Precious collections of cultural heritage documents are available for study on the internet via web archives. The automatically added metadata on these scanned documents, are not sufficient to make a specific search. User effort is needed to add manual annotations in order to enhance document content accessibility and exploitability. Annotators have different experiences in dissimilar manuscript domains. Hence the reuse of users’ experiences is constructive to accelerate the annotation process and to correct user mistakes. In this article we present our digital archive model and a prototype to collaboratively annotate online ancient manuscripts. Our system tracks important user actions, and saves them as traces composed of hierarchical episodes. These episodes are considered as cases to be reused by a recommender system.
%@ 978-3-642-14273-4
@incollection{doumat2010tracebased,
abstract = {Precious collections of cultural heritage documents are available for study on the internet via web archives. The automatically added metadata on these scanned documents, are not sufficient to make a specific search. User effort is needed to add manual annotations in order to enhance document content accessibility and exploitability. Annotators have different experiences in dissimilar manuscript domains. Hence the reuse of users’ experiences is constructive to accelerate the annotation process and to correct user mistakes. In this article we present our digital archive model and a prototype to collaboratively annotate online ancient manuscripts. Our system tracks important user actions, and saves them as traces composed of hierarchical episodes. These episodes are considered as cases to be reused by a recommender system.},
added-at = {2015-02-02T12:23:12.000+0100},
address = {Berlin/Heidelberg},
author = {Doumat, Reim and Egyed-Zsigmond, Elöd and Pinon, Jean-Marie},
biburl = {https://www.bibsonomy.org/bibtex/2ebecc5218957778511237241a68bc6d0/jaeschke},
booktitle = {Case-Based Reasoning. Research and Development},
doi = {10.1007/978-3-642-14274-1_27},
editor = {Bichindaritz, Isabelle and Montani, Stefania},
interhash = {b2c60e1bc52773cd742674c5d6b5412a},
intrahash = {ebecc5218957778511237241a68bc6d0},
isbn = {978-3-642-14273-4},
keywords = {archive digital recommender web},
language = {English},
pages = {360-374},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2015-02-02T12:23:12.000+0100},
title = {User Trace-Based Recommendation System for a Digital Archive},
url = {http://dx.doi.org/10.1007/978-3-642-14274-1_27},
volume = 6176,
year = 2010
}