• Hierarchical pattern matching...

Treffer: Hierarchical pattern matching for knowledge based news categorization

Title:
Hierarchical pattern matching for knowledge based news categorization
Authors:
GILARDONI, L, PRUNOTTO, P, ROCCA, G
Source:
Intelligent multimedia information retrieval systems and management (New York NY, October 11-12, 1994). :67-81
Publisher Information:
Paris: CID, 1994.
Publication Year:
1994
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Traitement et recherche de l'information, Information processing and retrieval, Structure et analyse des documents et de l'information, Information and document structure and analysis, Analyse des contenus, Content analysis, Indexation. Classification. Résumé. Synthèses, Indexing. Classification. Abstracting. Syntheses, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Linguistique mathématique, Computational linguistics, Linguística matemática, Sémantique, Semantics, Semántica, Analyse conceptuelle, Conceptual analysis, Análisis conceptual, Analyse linguistique, Linguistic analysis, Análisis linguístico, Base connaissance, Knowledge base, Base conocimiento, Catégorisation, Categorization, Categorización, Concept, Concepto, Concordance forme, Pattern matching, Langage naturel, Natural language, Lenguaje natural, Orienté objet, Object oriented, Orientado objeto, Projet, Project, Proyecto, Prototype, Prototipo, Représentation connaissances, Knowledge representation, Representación conocimientos, Structure information, Information structure, Estructura información, Texte, Text, Texto, Traitement langage, Language processing, Tratamiento lenguaje, COBALT, Grammaire catégorielle, Categorial grammar, LRE (Linguistic Research and Engineering), Orienté concept, Concept oriented
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Quinary S.p.A., 20122 Milano, Italy
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=3553682
Rights:
Copyright 1995 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3553682
Database:
PASCAL Archive

Weitere Informationen

In this paper we describe how we have combined the use of pattern matching with the exploitation of relation links between objects in a knowledge base, in order to perform a first-level broad categorization (shallow categorization of natural language texts (agency news). This work has been done in the context of the COBALT system, a text categorization shell which we are developing in the frame work of the CEC funded COBALT project (LRE, Linguistic Research and Engineerin project n° 61-011). In the COBALT system, concepts are defined as frame like objects organized in a hierarchy for which properties, relations and patterns may be defined. The patterns associated to the concepts'definition are aimed at identifying the concepts within the text though pattern matching whilst the properties and relations may be used in order to perform categorization according to their specific values in the knwoledge base. An inheritance mechanism has been implemented for concept matching inheritance and a rule language has been defined which allows to exploit this inheritance mechanism besides allowing to navigate within the knowledge base structure.