Document retro-conversion for personalized electronic reedition
Identifieur interne : 005E77 ( Main/Exploration ); précédent : 005E76; suivant : 005E78Document retro-conversion for personalized electronic reedition
Auteurs : Yves Rangoni ; Abdel Belaïd [France] ; André Alusse ; Hubert Cecotti ; Fady Farah ; Nicolas Gagean ; Dalibor Fiala ; François Rousselot ; Henri VigneSource :
English descriptors
Abstract
In this paper, we propose a generic framework to store, retrieve, transform and present mixed sets of native and virtual documents. We intend to use or to develop specific tools organized in a global architecture, from document analysis and capture, document retrieval and classification-categorization, to full generation of personal sets of documents, corresponding to user's specific needs and profile. The first step concerns document preparation and formal analysis. The second step adds semantic metadata, content indexing, and structure-semantic analysis. The third step helps user for the constitution of personalized documents. Research is based on domain specific large sets of documents, as for example European Union law documents (many millions, many file formats, in twenty official languages).
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Centre national de la recherche scientifique, Institut national de recherche en informatique et en automatique, Laboratoire lorrain de recherche en informatique et ses applications, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Crin, to step Corpus: 004157
- to stream Crin, to step Curation: 004157
- to stream Crin, to step Checkpoint: 000325
- to stream Main, to step Merge: 006100
- to stream Main, to step Curation: 005E77
Le document en format XML
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<front><div type="abstract" xml:lang="en" wicri:score="1965">In this paper, we propose a generic framework to store, retrieve, transform and present mixed sets of native and virtual documents. We intend to use or to develop specific tools organized in a global architecture, from document analysis and capture, document retrieval and classification-categorization, to full generation of personal sets of documents, corresponding to user's specific needs and profile. The first step concerns document preparation and formal analysis. The second step adds semantic metadata, content indexing, and structure-semantic analysis. The third step helps user for the constitution of personalized documents. Research is based on domain specific large sets of documents, as for example European Union law documents (many millions, many file formats, in twenty official languages).</div>
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