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.

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.

Nils Christie's (1986) seminal work on the 'Ideal Victim' is reproduced in full in this edited collection of vibrant and provocative essays that respond to and update the concept from a range of thematic positions. Each chapter celebrates and commemorates his work by analysing, evaluating and critiquing the current nature and impact of victim identity, experience, policy and practice. The collection expands the focus and remit of 'victim studies', addressing key themes around race, gender, faith, ability and age while encompassing new and diverse issues. Examples include sex workers as victims of hate crimes, victims' experiences of online fraud, and recognising historic child sexual abuse victims in Ireland. With contributions from an array of academics including Vicky Heap (Sheffield Hallam University), Hannah Mason-Bish (University of Sussex) and Pamela Davies (Northumbria University), as well as a Foreword by David Scott (The Open University), this book evaluates the contemporary relevance and applicability of Christie's 'Ideal Victim' concept and creates an important platform for thinking differently about victimhood in the 21st century.

This book constitutes the combined refereed proceedings of ISWC Satellite Wor shops KEKIand NLP&DBpedia 2016 which were held in conjunction with ISWC 2016 in Kobe, Japan, inOctober 2016. The 9 papers presented were carefully selected and reviewed from 20submissions. They focus on the use of linguistic linked open data, the linguistic aspectsof DBpedia, the improvement of of DBpedia through NLP applications, on increasing theNLP applications through integrating knowledge from DPpedia.

This book constitutes the proceedings of the First International Conference on Language, Data and Knowledge, LDK 2017, held in Galway, Ireland, in June 2017. The 14 full papers and 19 short papers included in this volume were carefully reviewed and selected from 68 initial submissions. They deal with language data; knowledge graphs; applications in NLP; and use cases in digital humanities, social sciences, and BioNLP.

"Forging People "explores the way in which Hispanic American thinkers in Latin America and Latino/a philosophers in the United States have posed and thought about questions of race, ethnicity, and nationality, and how they have interpreted the most significant racial and ethnic labels used in Hispanic America in connection with issues of rights, nationalism, power, and identity. Following the first introductory chapter, each of the essays addresses one or more influential thinkers, ranging from Bartolome de Las Casas on race and the rights of Amerindians; to Simon Bolivar's struggle with questions of how to forge a nation from disparate populations; to modern and contemporary thinkers on issues of race, unity, assimilation, and diversity. Each essay carefully and clearly presents the views of key authors in their historical and philosophical context and provides brief biographical sketches and reading lists, as aids to students and other readers."Latin American philosophy has a long history of engagement with issues of race, ethnicity, and nationality. To date, however, there has been no volume that focused on the contributions of the major figures in the Latin American tradition, to illustrate their connections, and to illuminate the context in which much of their work occurred. This volume fills that gap and takes an important step in remedying this shortcoming in the existing philosophical literature, and also in the literature of related fields such as Latin American studies, ethnic studies, and the cross-disciplinary work of race, ethnicity, and nationality." --Manuel Vargas, University of San Francisco