AustralieFrV1, Main, Exploration, bibRecord, 008649

A New Framework for Taxonomy Discovery from Text

Identifieur interne : 008649 ( Main/Exploration ); précédent : 008648; suivant : 008650

A New Framework for Taxonomy Discovery from Text

Auteurs : Ahmad El Sayed [France] ; Hakim Hacid [Australie] ; Djamel Zighed [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.

RBID : ISTEX:91DDA8FF1CA51947FFABF4C03AEB1181E2F87B51

Descripteurs français

Wicri :
- topic : Ontologie.

English descriptors

KwdEn :
- Algorithm, Concept pair, Correlation rate, Distributional approaches, General architecture, Hacid, Hybrid approach, Hypernymy, Information retrieval, Keywords queries, Olea, Ontology, Other relation, Parameter values, Present olea, Query, Regression model, Relevance feedback, Semantic relation, Semantic relations, Synonymy, Taxonomy, Taxonomy discovery, Wordnet, Zighed.
Teeft :
- Algorithm, Concept pair, Correlation rate, Distributional approaches, General architecture, Hacid, Hybrid approach, Hypernymy, Information retrieval, Keywords queries, Olea, Ontology, Other relation, Parameter values, Present olea, Query, Regression model, Relevance feedback, Semantic relation, Semantic relations, Synonymy, Taxonomy, Taxonomy discovery, Wordnet, Zighed.

Abstract

Abstract: Ontology learning from text is considered as an appealing and a challenging approach to address the shortcomings of the hand-crafted ontologies. In this paper, we present OLEA, a new framework for ontology learning from text. The proposal is a hybrid approach combining the pattern-based and the distributional approaches. It addresses key issues in the area of ontology learning: low recall of the pattern-based approach, low precision of the distributional approach, and finally ontology evolution. Preliminary experiments performed at each stage of the learning process show the pros and cons of the proposal.

Url:

https://api.istex.fr/document/91DDA8FF1CA51947FFABF4C03AEB1181E2F87B51/fulltext/pdf

DOI: 10.1007/978-3-540-68125-0_103

Affiliations:

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Le document en format XML

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A New Framework for Taxonomy Discovery from Text

A New Framework for Taxonomy Discovery from Text

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri