Automatic indexing of multimedia documents as a starting point to annotation process
Identifieur interne : 005077 ( Main/Exploration ); précédent : 005076; suivant : 005078Automatic indexing of multimedia documents as a starting point to annotation process
Auteurs : Sahbi Sidhom [France] ; Amos David [France]Source :
English descriptors
- mix :
Abstract
Automatic text analysis widened the perspective of work on document contents by opening up the studies on the linguistic productions. In this case, we are using annotation as a case study. In our approach, annotation is defined as textual, graphic or sound information, attached to document source (text, photo, audio sequence or video sequence : multimedia). The source of our corpus is from INA databases (ie. Institut National de l'Audiovisuel, Paris). Our research task consisted of identifying what are the appropriate characteristics of a multimedia document, its context and information retrieval in the context of natural language processing (NLP), automatic indexing and knowledge representation. We discuss the crucial role of annotation process in the Knowledge Extraction tools and Management as well as in the design of Information Retrieval Systems. Our focus is more specifically on the new approach in information system design dedicated to “economic intelligence”.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 001152
- to stream Hal, to step Curation: 001152
- to stream Hal, to step Checkpoint: 004005
- to stream Main, to step Merge: 005242
- to stream Main, to step Curation: 005077
Le document en format XML
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<front><div type="abstract" xml:lang="en">Automatic text analysis widened the perspective of work on document contents by opening up the studies on the linguistic productions. In this case, we are using annotation as a case study. In our approach, annotation is defined as textual, graphic or sound information, attached to document source (text, photo, audio sequence or video sequence : multimedia). The source of our corpus is from INA databases (ie. Institut National de l'Audiovisuel, Paris). Our research task consisted of identifying what are the appropriate characteristics of a multimedia document, its context and information retrieval in the context of natural language processing (NLP), automatic indexing and knowledge representation. We discuss the crucial role of annotation process in the Knowledge Extraction tools and Management as well as in the design of Information Retrieval Systems. Our focus is more specifically on the new approach in information system design dedicated to “economic intelligence”.</div>
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