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Linguistic Linked Data - Representation, Generation and Applications (Paperback, 1st ed. 2020)
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Linguistic Linked Data - Representation, Generation and Applications (Paperback, 1st ed. 2020)
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This is the first monograph on the emerging area of linguistic
linked data. Presenting a combination of background information on
linguistic linked data and concrete implementation advice, it
introduces and discusses the main benefits of applying linked data
(LD) principles to the representation and publication of linguistic
resources, arguing that LD does not look at a single resource in
isolation but seeks to create a large network of resources that can
be used together and uniformly, and so making more of the single
resource. The book describes how the LD principles can be applied
to modelling language resources. The first part provides the
foundation for understanding the remainder of the book, introducing
the data models, ontology and query languages used as the basis of
the Semantic Web and LD and offering a more detailed overview of
the Linguistic Linked Data Cloud. The second part of the book
focuses on modelling language resources using LD principles,
describing how to model lexical resources using Ontolex-lemon, the
lexicon model for ontologies, and how to annotate and address
elements of text represented in RDF. It also demonstrates how to
model annotations, and how to capture the metadata of language
resources. Further, it includes a chapter on representing
linguistic categories. In the third part of the book, the authors
describe how language resources can be transformed into LD and how
links can be inferred and added to the data to increase
connectivity and linking between different datasets. They also
discuss using LD resources for natural language processing. The
last part describes concrete applications of the technologies:
representing and linking multilingual wordnets, applications in
digital humanities and the discovery of language resources. Given
its scope, the book is relevant for researchers and graduate
students interested in topics at the crossroads of natural language
processing / computational linguistics and the Semantic Web /
linked data. It appeals to Semantic Web experts who are not
proficient in applying the Semantic Web and LD principles to
linguistic data, as well as to computational linguists who are used
to working with lexical and linguistic resources wanting to learn
about a new paradigm for modelling, publishing and exploiting
linguistic resources.
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