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Springer Linguistic Linked Data: Representation, Generation - Springer

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Description

This groundbreaking monograph explores the emerging field of linguistic linked data, offering both foundational concepts and practical implementation guidance. The book demonstrates how linked data principles transform the representation and publication of linguistic resources, creating interconnected networks that amplify the value of individual datasets. Rather than treating resources in isolation, linked data enables uniform access across multiple resources, fostering richer semantic connections and expanded usability. Ideal for linguists, data scientists, and information professionals, this Springer publication provides essential insights into applying linked data methodologies to linguistic corpora, terminology databases, and language processing systems. Readers will discover concrete strategies for implementing LD standards, best practices for resource modelling, and real-world applications demonstrating the transformative potential of networked linguistic data.

Key Features

Comprehensive introduction to linguistic linked data principles and their application to language resources and corpus linguistics.

Practical guidance on implementing linked data standards for linguistic data representation, publication and interoperability.

Analysis of how linked data networking creates value by connecting linguistic resources for uniform, large-scale data access.

Published by Springer, a leading academic publisher specialising in technical and scientific monographs for research professionals.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 August 2021
Listed Since
18 December 2020

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