£110.10

Springer - Linguistic Linked Data: Representation and Generation

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Description

Explore the groundbreaking first monograph dedicated to the emerging field of linguistic linked data. Published by Springer, this book provides a comprehensive foundation for researchers and professionals looking to understand how linked data (LD) principles transform the way linguistic resources are handled. Instead of viewing a single resource in isolation, this text explains how to build a large, interconnected network of resources. By applying LD principles, you can use multiple resources together and uniformly, significantly increasing the value and utility of individual data sets. This book serves as both a theoretical guide and a practical manual, offering background information alongside concrete implementation advice for the representation and publication of linguistic resources. Whether you are studying the technical aspects of data publication or searching for ways to integrate diverse linguistic tools, this monograph offers the necessary framework to move beyond isolated data silos and toward a cohesive, networked approach to linguistics.

Key Features

Provides the first monograph on the emerging area of linguistic linked data for academic and professional study.

Combines essential background information with concrete implementation advice for practical application.

Explains how to apply linked data principles to the representation and publication of linguistic resources.

Moves beyond single resource isolation to help create large networks of resources that work together.

Offers methods to use linguistic resources uniformly to maximize the value of individual data sets.

Product Specifications

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

Barcode

No barcode data available

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