Title
TOK: A Meta-model and Ontology for Heterogeneous Terminological, Linguistic and Ontological Knowledge Resources
Abstract
Documents are rich resources containing knowledge describing a specific domain. That's why their processing is a common task, which is based on the use of terminological and ontological resources. Various types of ontologies, thesauri, and a large list of resources are commonly used in the process of knowledge extraction. The modeling and reuse of these resources is intended to support knowledge management. In this paper, we propose a methodology and a model for ontological and terminological resource management. Our aim is to build a resources repository that offers operations for loading, storing, indexing, translating, generating and matching different resources. In this contribution we propose an ontology as a model of these resources and we explain how can we represent, annotate and load new resources into our repository.
Year
DOI
Venue
2010
10.1109/WI-IAT.2010.204
WI-IAT), 2010 IEEE/WIC/ACM International Conference
Keywords
Field
DocType
indexing,knowledge acquisition,knowledge management,ontologies (artificial intelligence),TOK,heterogeneous terminological resources,indexing,knowledge extraction process,linguistic,meta-model,ontological knowledge resources,ontology,support knowledge management,terminological resource management,thesauri,Alignment,Multilingual,Ontology of Resources,Resources Repository,Terminology
Resource management,Ontology (information science),Data mining,Ontology,Terminology,Information retrieval,Computer science,Search engine indexing,Knowledge extraction,Knowledge acquisition,Metamodeling
Conference
Volume
ISBN
Citations 
1
978-0-7695-4191-4
1
PageRank 
References 
Authors
0.36
3
3
Name
Order
Citations
PageRank
Nizar Ghoula1163.60
Gilles Falquet217150.91
Jacques Guyot34912.38