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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.
This volume offers a comprehensive, up-to-date, empirical and methodological view over the new scenarios and environments for language teaching and learning recently emerged (e.g. blended learning, e-learning, ubiquitous learning, social learning, autonomous learning or lifelong learning), and also over some of the new approaches to language teaching and/or research that can support them (usually by applying ICT), such as Computer-Assisted Language Learning (CALL), Mobile-Assisted Language Learning (MALL), Content and Language Integrated Learning (CLIL), or Language Massive Open Online Courses (LMOOCs). A must-read for those undertaking language teaching for the first time or willing to try new perspectives and methods in their courses.
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