Revisiting Ontology Design: A Method Based on Corpus Analysis

Aussenac-Gilles, Nathalie; Biebow, Brigitte; Szulman, Sylvie

doi:10.1007/3-540-39967-4_13

Cited by 108 publications

(40 citation statements)

References 8 publications

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“…Another aspect relates to the automated construction of theme ontologies which must be produced for each domain of teaching. Work of the IRIT laboratory in this field (Aussenac et al, 2000) could be reinvested here.…”

Section: Discussionmentioning

confidence: 99%

A Model to Represent the Facets of Learning Object

Hernandez¹,

Mothe²,

Ralalason³

et al. 2008

IJELL

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This paper presents a model to describe Learning Objects (LO). The main objective of this model is to consider all the aspects of the LO for which a description will ease LO re-use. The LO description we promote complies with the current standards of e-learning and includes the following: metadata, scenarios the objects are used in, and the objects they are composed of. We enrich this multi-facet representation by taking into account the semantics of learning object contents. Another contribution of our work is that this multi-facet representation relies on ontologies, allowing a semantic representation that facilitates communication between machines and users.

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Section: Discussionmentioning

confidence: 99%

A Model to Represent the Facets of Learning Object

Hernandez¹,

Mothe²,

Ralalason³

et al. 2008

IJELL

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“…However, many other methods and methodologies have been proposed for other tasks, such as ontology reengineering [29], ontology learning [2,45], ontology evaluation [25,27,35,36,41,42], ontology evolution [47,48,58,63], ontology merging [59], etc. In this paper, we will only focus on methodologies for building ontologies.…”

Section: Methods and Methodologies For Building Ontologiesmentioning

confidence: 99%

Methodologies, tools and languages for building ontologies. Where is their meeting point?

Corcho

Fernández-López

Gómez-Pérez

2003

Data & Knowledge Engineering

540

278

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In this paper we review and compare the main methodologies, tools and languages for building ontologies that have been reported in the literature, as well as the main relationships among them. Ontology technology is nowadays mature enough: many methodologies, tools and languages are already available. The future work in this field should be driven towards the creation of a common integrated workbench for ontology developers to facilitate ontology development, exchange, evaluation, evolution and management, to provide methodological support for these tasks, and translations to and from different ontology languages. This workbench should not be created from scratch, but instead integrating the technology components that are currently available.

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“…In the context of a tool aimed at supporting a care network, it seems interesting to extend the Nautilus ontology by concepts enabling to describe a care network and its actors, etc. For building these extensions, we rested on a corpus-based knowledge acquisition methodology [1] for semi-automatic acquisition relying on linguistic tools while being controlled by the expert and the knowledge engineer.…”

Section: Verification and Validation Of The Ontologymentioning

confidence: 99%

Medical Ontology and Virtual Staff for a Health Network

Dieng-Kuntz

Minier

Corby

et al. 2004

Engineering Knowledge in the Age of the Semantic Web

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Abstract. In the context of a care network, we describe our method for reconstitution of a medical ontology via the translation of a medical database (DB) towards RDF(S) language. Then we show how we extended this ontology, among others through natural language processing of a textual corpus. Then, we present the construction of a Virtual Staff, enabling a cooperative diagnosis by some of the care network actors, by relying on this medical ontology.

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Revisiting Ontology Design: A Method Based on Corpus Analysis

Cited by 108 publications

References 8 publications

A Model to Represent the Facets of Learning Object

A Model to Represent the Facets of Learning Object

Methodologies, tools and languages for building ontologies. Where is their meeting point?

Medical Ontology and Virtual Staff for a Health Network

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