Linked Data for Digital Humanities

Linked Data for Digital Humanities PDF Author: Terhi Nurmikko-Fuller
Publisher: Taylor & Francis
ISBN: 1000929795
Category : Language Arts & Disciplines
Languages : en
Pages : 144

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Book Description
Linked Data for Digital Humanities provides insights into how digital technologies can enrich and diversify humanities scholarship and make it pioneering in the digital age. Written in non-specialist language, the book illustrates how information is captured, published, represented, accessed, and interpreted using computational systems and, in doing so, shows how technologies actively shape the way we understand what we encounter. Focusing as it does on underlying Web architecture and projects accessible online, the book has an inherently international focus. The interdisciplinary case study examples include bibliographic data from works published in England between 1470 and 1700; literature from ancient Iraq; jazz performances, predominantly from the USA in the 1930s; and even reach as far as an alien, fictional future. Whilst these case study examples span vast spatio-temporal distances, they all share a common thread in the use of the Linked Data information publication paradigm. Using existing computer science methods, as well as processes such as ontology development and database design, the book also includes reflections on practical considerations and offers advice about how to take institutional policies, socio-cultural sensitivities, and economic models into consideration when implementing Linked Data projects. Linked Data for Digital Humanities discusses technological issues in the context of Humanities scholarship, bridging disciplines and enabling informed conversations across disciplinary boundaries. It will be of interest to humanities scholars, computer and data scientists, and library and information scientists.

Linked Data for Digital Humanities

Linked Data for Digital Humanities PDF Author: Terhi Nurmikko-Fuller
Publisher: Taylor & Francis
ISBN: 1000929795
Category : Language Arts & Disciplines
Languages : en
Pages : 144

Get Book Here

Book Description
Linked Data for Digital Humanities provides insights into how digital technologies can enrich and diversify humanities scholarship and make it pioneering in the digital age. Written in non-specialist language, the book illustrates how information is captured, published, represented, accessed, and interpreted using computational systems and, in doing so, shows how technologies actively shape the way we understand what we encounter. Focusing as it does on underlying Web architecture and projects accessible online, the book has an inherently international focus. The interdisciplinary case study examples include bibliographic data from works published in England between 1470 and 1700; literature from ancient Iraq; jazz performances, predominantly from the USA in the 1930s; and even reach as far as an alien, fictional future. Whilst these case study examples span vast spatio-temporal distances, they all share a common thread in the use of the Linked Data information publication paradigm. Using existing computer science methods, as well as processes such as ontology development and database design, the book also includes reflections on practical considerations and offers advice about how to take institutional policies, socio-cultural sensitivities, and economic models into consideration when implementing Linked Data projects. Linked Data for Digital Humanities discusses technological issues in the context of Humanities scholarship, bridging disciplines and enabling informed conversations across disciplinary boundaries. It will be of interest to humanities scholars, computer and data scientists, and library and information scientists.

Linked Data

Linked Data PDF Author: Tom Heath
Publisher: Springer Nature
ISBN: 303179432X
Category : Mathematics
Languages : en
Pages : 122

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Book Description
The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study. Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data / Linked Data Design Considerations / Recipes for Publishing Linked Data / Consuming Linked Data / Summary and Outlook

Linguistic Linked Data

Linguistic Linked Data PDF Author: Philipp Cimiano
Publisher: Springer Nature
ISBN: 3030302253
Category : Computers
Languages : en
Pages : 289

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Book Description
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.

Ethics in Linked Data

Ethics in Linked Data PDF Author: Kathleen Burlingame
Publisher: Library Juice Press
ISBN: 9781634001335
Category :
Languages : en
Pages : 0

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Book Description


The Shape of Data in Digital Humanities

The Shape of Data in Digital Humanities PDF Author: Julia Flanders
Publisher: Routledge
ISBN: 1317016157
Category : Language Arts & Disciplines
Languages : en
Pages : 361

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Book Description
Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.

Access and Control in Digital Humanities

Access and Control in Digital Humanities PDF Author: Shane Hawkins
Publisher: Routledge
ISBN: 0429535260
Category : Computers
Languages : en
Pages : 262

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Book Description
Access and Control in Digital Humanities explores a range of important questions about who controls data, who is permitted to reproduce or manipulate data, and what sorts of challenges digital humanists face in making their work accessible and useful. Contributors to this volume present case studies and theoretical approaches from their experience with applications for digital technology in classrooms, museums, archives, in the field and with the general public. Offering potential answers to the issues of access and control from a variety of perspectives, the volume acknowledges that access is subject to competing interests of a variety of stakeholders. Museums, universities, archives, and some communities all place claims on how data can or cannot be shared through digital initiatives and, given the collaborative nature of most digital humanities projects, those in the field need to be cognizant of the various and often competing interests and rights that shape the nature of access and how it is controlled. Access and Control in Digital Humanities will be of interest to researchers, academics and graduate students working in a variety of fields, including digital humanities, library and information science, history, museum and heritage studies, conservation, English literature, geography and legal studies.

Data Analytics in Digital Humanities

Data Analytics in Digital Humanities PDF Author: Shalin Hai-Jew
Publisher: Springer
ISBN: 3319544993
Category : Computers
Languages : en
Pages : 304

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Book Description
This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

Humanities Data in R

Humanities Data in R PDF Author: Taylor Arnold
Publisher: Springer Nature
ISBN: 3031625668
Category :
Languages : en
Pages : 287

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Book Description


Digital Humanities, Libraries, and Partnerships

Digital Humanities, Libraries, and Partnerships PDF Author: Robin Kear
Publisher: Chandos Publishing
ISBN: 0081020244
Category : Social Science
Languages : en
Pages : 225

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Book Description
Digital Humanities, Libraries, and Partnerships brings forward ideas and reflections that stay fresh beyond the changing technological landscape. The book encapsulates a cultural shift for libraries and librarians and presents a collection of authors who reflect on the collaborations they have formed around digital humanities work. Authors examine a range of issues, including labor equity, digital infrastructure, digital pedagogy, and community partnerships. Readers will find kinship in the complexities of the partnerships described in this book, and become more equipped to conceptualize their own paths and partnerships. - Provides insight into the collaborative relationships among academic librarians and faculty in the humanities - Documents the current environment, while prompting new questions, research paths and teaching methods - Examines the challenges and opportunities for the digital humanities in higher education - Presents examples of collaborations from a variety of international perspectives and educational institutions

Linked Data in Linguistics

Linked Data in Linguistics PDF Author: Christian Chiarcos
Publisher: Springer Science & Business Media
ISBN: 3642282490
Category : Computers
Languages : en
Pages : 220

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Book Description
The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with each other to generate network effects. The general trend of providing data online is thus accompanied by newly developing methodologies to interconnect linguistic data and metadata. This includes linguistic data collections, general-purpose knowledge bases (e.g., the DBpedia, a machine-readable edition of the Wikipedia), and repositories with specific information about languages, linguistic categories and phenomena. The Linked Data paradigm provides a framework for interoperability and access management, and thereby allows to integrate information from such a diverse set of resources. The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories. The book includes representative applications from diverse fields, ranging from academic linguistics (e.g., typology and corpus linguistics) over applied linguistics (e.g., lexicography and translation studies) to technical applications (in computational linguistics, Natural Language Processing and information technology). This volume accompanies the Workshop on Linked Data in Linguistics 2012 (LDL-2012) in Frankfurt/M., Germany, organized by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN). It assembles contributions of the workshop participants and, beyond this, it summarizes initial steps in the formation of a Linked Open Data cloud of linguistic resources, the Linguistic Linked Open Data cloud (LLOD).