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Linguistic Linked Data

Representation, Generation and Applications

  • Philipp Cimiano
  • Christian Chiarcos
  • John P. McCrae
  • Jorge Gracia
Book

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Preliminaries

    1. Front Matter
      Pages 1-1
    2. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 3-9
    3. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 11-28
    4. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 29-41
  3. Modelling

    1. Front Matter
      Pages 43-43
    2. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 45-59
    3. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 61-87
    4. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 89-122
    5. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 123-135
    6. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 137-160
  4. Generation and Exploitation

    1. Front Matter
      Pages 161-161
    2. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 163-180
    3. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 181-196
    4. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 197-211
  5. Use Cases

    1. Front Matter
      Pages 213-213
    2. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 215-228
    3. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 229-262
    4. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 263-279
  6. Conclusions

    1. Front Matter
      Pages 281-281
    2. Philipp Cimiano, Christian Chiarcos, John P. McCrae, Jorge Gracia
      Pages 283-284
  7. Back Matter
    Pages 285-286

About this book

Introduction

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.

Keywords

LOD - Linked Open Data RDF - Resource Description Framework Semantic Web Description Language Ontologies NLP - Natural Language Processing SKOS CIDOC

Authors and affiliations

  1. 1.Semantic Computing GroupBielefeld UniversityBielefeldGermany
  2. 2.Angewandte ComputerlinguistikGoethe-UniversityFrankfurt am MainGermany
  3. 3.Insight Centre for Data AnalyticsNational University of IrelandGalwayIreland
  4. 4.Aragon Institute of Engineering Research (I3A)University of ZaragozaZaragozaSpain

Bibliographic information