23.5329, Diss: Applied Ling/Comp Ling/ Morphology/ Semantics/ Syntax/ Text/Corpus Ling/ English/ French/ German/ Italian/ Spanish: Pareja-Lora: 'OntoTag ...'
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LINGUIST List: Vol-23-5329. Tue Dec 18 2012. ISSN: 1069 - 4875.
Subject: 23.5329, Diss: Applied Ling/Comp Ling/ Morphology/ Semantics/ Syntax/ Text/Corpus Ling/ English/ French/ German/ Italian/ Spanish: Pareja-Lora: 'OntoTag ...'
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Date: Tue, 18 Dec 2012 12:10:55
From: Antonio Pareja-Lora [apareja at sip.ucm.es]
Subject: OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web
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Institution: Universidad Politécnica de Madrid
Program: Ciencias de la Computación e Inteligencia Artificial (Computer Science and Artificial Intelligence)
Dissertation Status: Completed
Degree Date: 2012
Author: Antonio Pareja-Lora
Dissertation Title: OntoTag - A Linguistic and Ontological Annotation Model
Suitable for the Semantic Web
Dissertation URL: http://oa.upm.es/13827/
Linguistic Field(s): Applied Linguistics
Computational Linguistics
Morphology
Semantics
Syntax
Text/Corpus Linguistics
Subject Language(s): English (eng)
French (fra)
German (deu)
Italian (ita)
Spanish (spa)
Dissertation Director(s):
Guadalupe Aguado de Cea
Asunción Gómez-Pérez
Dissertation Abstract:
This dissertation presents the OntoTag annotation model, which is suitable for
both Linguistics and the Semantic Web. OntoTag was conceived when (1) no
real standard for linguistic annotation had been released yet, (2) the topic ‘What
is an ontology?’ was still under discussion (e.g. AAAI’2002 workshops), (3) no
linguistic ontology had been developed yet, (4) the first W3C recommendations
about RDF and OWL were under development, and (5) the Semantic Web was,
hence, quite a utopia. However, already by that time, this annotation model used
all these emergent technologies to [A] merge and link annotations, and also [B]
make linguistic tools and resources interoperate. These two goals are achieved
in the model by means of its set of linguistic ontologies, which are described in
this book as well. OntoTag provides also a methodology and a set of best
practices for the annotation of texts, conforming to the guidelines,
recommendations and standards published hitherto for annotation in Linguistics
and in the Semantic Web. This dissertation presents also OntoTagger, the
application that was implemented in order to evaluate the OntoTag model,
together with the results obtained from this evaluation.
References:
Pareja-Lora, A. (2012) Providing Linked Linguistic and Semantic Web
Annotations - The OntoTag Hybrid Annotation Model. Saarbrücken: LAP
LAMBERT Academic Publishing [Available at
https://www.morebooks.de/store/gb/book/providing-linked-linguistic-and-
semantic-web-annotations/isbn/978-3-659-25526-7].
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