Providing Linked Linguistic and Semantic Web Annotations

Name: Providing Linked Linguistic and Semantic Web Annotations
Brand: LAP Lambert Academic Publishing
SKU: 9783659255267
Price: 26361 HUF
Availability: InStock

The OntoTag Hybrid Annotation Model

Szerző: Antonio Pareja-Lora

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

26 361 Ft

This book presents the OntoTag annotation model, which is suitable for both Linguistics and the Sema...

Információk a könyvről

Szerző

Antonio Pareja-Lora

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

504

EAN

9783659255267

Enbook ID

07044945

Kiadó

LAP Lambert Academic Publishing

Súly

769

Méretek

150 x 220 x 30

Teljes leírás

This book 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 book presents also OntoTagger, the application that was implemented in order to evaluate the OntoTag model, together with the results obtained from this evaluation.

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Providing Linked Linguistic and Semantic Web Annotations

The OntoTag Hybrid Annotation Model

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