A proposal for annotation, semantic similarity and classification of textual documents
Identifieur interne :
000348 ( PascalFrancis/Corpus );
précédent :
000347;
suivant :
000349
A proposal for annotation, semantic similarity and classification of textual documents
Auteurs : Emmanuel Nauer ;
Amedeo NapoliSource :
-
Lecture notes in computer science
RBID : Pascal:08-0032186
Descripteurs français
English descriptors
Abstract
In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the documents. The content of a document is annotated and the resulting annotation is represented by a labeled tree whose nodes and edges are represented by concepts lying within a domain ontology. A reasoning process may be carried out on annotation trees, allowing the comparison of documents between each others, for classification or information retrieval purposes. An algorithm for classifying documents with respect to semantic similarity and a discussion conclude the paper.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A05 | | | | @2 4183 |
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| A08 | 01 | 1 | ENG | @1 A proposal for annotation, semantic similarity and classification of textual documents |
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| A09 | 01 | 1 | ENG | @1 Artificial intelligence : methodology, systems, and applications : 12th international conference, AIMSA 2006, Varna, Bulgaria, September 12-15, 2006 : proceedings |
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| A11 | 01 | 1 | | @1 NAUER (Emmanuel) |
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| A11 | 02 | 1 | | @1 NAPOLI (Amedeo) |
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| A12 | 01 | 1 | | @1 EUZENAT (Jérôme) @9 ed. |
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| A12 | 02 | 1 | | @1 DOMINGUE (John) @9 ed. |
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| A14 | 01 | | | @1 LORIA -UMR 7503 Bâtiment B, B.P. 239 @2 54506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut. |
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| A20 | | | | @1 201-212 |
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| A21 | | | | @1 2006 |
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| A23 | 01 | | | @0 ENG |
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| A26 | 01 | | | @0 3-540-40930-0 |
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| A43 | 01 | | | @1 INIST @2 16343 @5 354000153641600200 |
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| A44 | | | | @0 0000 @1 © 2008 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 18 ref. |
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| A47 | 01 | 1 | | @0 08-0032186 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 2 | | @0 Lecture notes in computer science |
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| A66 | 01 | | | @0 DEU |
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| C01 | 01 | | ENG | @0 In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the documents. The content of a document is annotated and the resulting annotation is represented by a labeled tree whose nodes and edges are represented by concepts lying within a domain ontology. A reasoning process may be carried out on annotation trees, allowing the comparison of documents between each others, for classification or information retrieval purposes. An algorithm for classifying documents with respect to semantic similarity and a discussion conclude the paper. |
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| C03 | 03 | X | FRE | @0 Classification @5 07 |
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| C03 | 03 | X | ENG | @0 Classification @5 07 |
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| C03 | 03 | X | SPA | @0 Clasificación @5 07 |
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| C03 | 04 | X | FRE | @0 Texte @5 08 |
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| C03 | 04 | X | ENG | @0 Text @5 08 |
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| C03 | 04 | X | SPA | @0 Texto @5 08 |
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| C03 | 05 | X | FRE | @0 Analyse contenu @5 09 |
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| C03 | 05 | X | ENG | @0 Content analysis @5 09 |
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| C03 | 05 | X | SPA | @0 Análisis contenido @5 09 |
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| C03 | 06 | X | FRE | @0 Ontologie @5 10 |
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| C03 | 06 | X | ENG | @0 Ontology @5 10 |
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| C03 | 06 | X | SPA | @0 Ontología @5 10 |
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| C03 | 07 | X | FRE | @0 Recherche information @5 11 |
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| C03 | 07 | X | ENG | @0 Information retrieval @5 11 |
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| C03 | 07 | X | SPA | @0 Búsqueda información @5 11 |
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| C03 | 08 | X | FRE | @0 Annotation @5 18 |
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| C03 | 08 | X | ENG | @0 Annotation @5 18 |
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| C03 | 08 | X | SPA | @0 Anotación @5 18 |
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| C03 | 09 | X | FRE | @0 Sémantique @5 19 |
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| C03 | 09 | X | ENG | @0 Semantics @5 19 |
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| C03 | 09 | X | SPA | @0 Semántica @5 19 |
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| pR |
| A30 | 01 | 1 | ENG | @1 International Conference on Artificial Intelligence : Methodology, Systems, and Applications @2 12 @3 Varna BGR @4 2006 |
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|
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Format Inist (serveur)
| NO : | PASCAL 08-0032186 INIST |
|---|
| ET : | A proposal for annotation, semantic similarity and classification of textual documents |
|---|
| AU : | NAUER (Emmanuel); NAPOLI (Amedeo); EUZENAT (Jérôme); DOMINGUE (John) |
|---|
| AF : | LORIA -UMR 7503 Bâtiment B, B.P. 239/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Lecture notes in computer science; Allemagne; Da. 2006; Vol. 4183; Pp. 201-212; Bibl. 18 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the documents. The content of a document is annotated and the resulting annotation is represented by a labeled tree whose nodes and edges are represented by concepts lying within a domain ontology. A reasoning process may be carried out on annotation trees, allowing the comparison of documents between each others, for classification or information retrieval purposes. An algorithm for classifying documents with respect to semantic similarity and a discussion conclude the paper. |
|---|
| CC : | 001D02B07D; 001D02C |
|---|
| FD : | Intelligence artificielle; Similitude; Classification; Texte; Analyse contenu; Ontologie; Recherche information; Annotation; Sémantique; Mensonge |
|---|
| ED : | Artificial intelligence; Similarity; Classification; Text; Content analysis; Ontology; Information retrieval; Annotation; Semantics; Lying |
|---|
| SD : | Inteligencia artificial; Similitud; Clasificación; Texto; Análisis contenido; Ontología; Búsqueda información; Anotación; Semántica; Mentira |
|---|
| LO : | INIST-16343.354000153641600200 |
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| ID : | 08-0032186 |
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Links to Exploration step
Pascal:08-0032186
Le document en format XML
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<ET>A proposal for annotation, semantic similarity and classification of textual documents</ET>
<AU>NAUER (Emmanuel); NAPOLI (Amedeo); EUZENAT (Jérôme); DOMINGUE (John)</AU>
<AF>LORIA -UMR 7503 Bâtiment B, B.P. 239/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
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<EA>In this paper, we present an approach for classifying documents based on the notion of a semantic similarity and the effective representation of the content of the documents. The content of a document is annotated and the resulting annotation is represented by a labeled tree whose nodes and edges are represented by concepts lying within a domain ontology. A reasoning process may be carried out on annotation trees, allowing the comparison of documents between each others, for classification or information retrieval purposes. An algorithm for classifying documents with respect to semantic similarity and a discussion conclude the paper.</EA>
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