Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

✍ Scribed by Antonio Pareja-Lora

• Publisher: MIT Press
• Year: 1920
• Tongue: English
• Leaves: 273
• Edition: 1
• Category: Library

✦ Synopsis

Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language acquistiion researchers and technical LOD (linked open data) researchers.

This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences.

With contributions by researchers who produce complex data content and scholars involved in both the technology and the conceptual foundations of LLOD (linguistics linked open data), the book focuses on the area of language acquisition because it involves complex and diverse data sets, cross-linguistic analyses, and urgent collaborative research. The contributors discuss a variety of research methods, resources, and infrastructures.

Contributors
Isabelle Barrière, Nan Bernstein Ratner, Steven Bird, Maria Blume, Ted Caldwell, Christian Chiarcos, Cristina Dye, Suzanne Flynn, Claire Foley, Nancy Ide, Carissa Kang, D. Terence Langendoen, Barbara Lust, Brian MacWhinney, Jonathan Masci, Steven Moran, Antonio Pareja-Lora, Jim Reidy, Oya Y. Rieger, Gary F. Simons, Thorsten Trippel, Kara Warburton, Sue Ellen Wright, Claus Zinn

✦ Table of Contents

Contents
Acknowledgments
Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences: An Introduction
Challenges
Advances to Date
Contributions in This Volume
Challenges for the Future
Notes
References
1. Open Data—Linked Data—Linked Open Data—Linguistic Linked Open Data (LLOD): A General Introduction
Background: Scientific Principles and Openness
Open Data in Science
Linked Data
Linked Open Data
Linked Open Data in Linguistics
Chances, Challenges, and Prospects
Acknowledgments
Notes
References
2. Whither GOLD?
In the Beginning
The Birth of GOLD
The Development of GOLD within the E-MELD Project
GOLD after E-MELD
What’s Next?
Notes
References
3. Management, Sustainability, and Interoperability of Linguistic Annotations
Introduction
What Is Linguistic Annotation?
History
The Rise of Standards
Interoperability as a Focus
Conclusion
Notes
References
4. Linguistic Linked Open Data and Under-Resourced Languages: From Collection to Application
Introduction
What Are Under-Resourced Languages?
Linked Data and Under-Resourced Language Data
Case Studies
The Linguistic Linked Open Data Cloud
Summary
Notes
References
5. A Data Category Repository for Language Resources
Language Resources
Data Categories
The Initial Data Category Selection: Terminology
Proposal for a Data Category Registry
12620:2009
A Typology of Data Categories
An Elaborate Data Model
Initial Years of the DCR
Withdrawal of the Max Planck Institute and Selection of Termweb
Migrating the DCR to TermWeb
Converting DCIF to TBX
Reviewing the TBX Files
Duplicates
What Is a Data Category, and What Is Not?
Post-Import Work
A Shifting Identity and Purpose
Rebranding: DatCatInfo
Example from DatCatInfo
Current Status, Future Work, and Challenges
Notes
References
6. Describing Research Data with CMDI—Challenges to Establish Contact with Linked Open Data
Introduction
Motivation
Component MetaData Infrastructure (CMDI)
CMDI and Semantic Interoperability
CMDI and Linked Data
Discussion
Conclusion
Notes
References
7. Expressing Language Resource Metadata as Linked Data: The Case of the Open Language Archives Community
Introduction
The OLAC Metadata Standard
Enter Linked Data
Expressing OLAC Metadata as Linked Data
Incorporating Linked Data into the OLAC Infrastructure
Conclusion
Notes
References
8. TalkBank Resources for Psycholinguistic Analysis and Clinical Practice
Introduction
Child Language Sample Analysis
KIDEVAL in Action
What about Norms?
Improving Norms
Fuller Support for SLPs
Take-Away Messages
Broader Implications
Acknowledgments
References
9. Enabling New Collaboration and Research Capabilities in Language Sciences: Management of Language Acquisition Data and Metadata with the Data Transcription and Analysis Tool
Introduction
Opportunities and Challenges in the Age of Digital Data
Development of Web-Based Cyberinfrastructure in Support of the Language Sciences: The Virtual Linguistic Lab (VLL) Case Study and the DTA Tool
An Example of a Research Challenge: The Acquisition of Relative Clauses
The Data Transcription and Analysis Tool Empowers Discovery in Experimental Data
The Data Transcription and Analysis Tool Empowers Discovery in Natural Speech Data
Moving to Linked Open Data
Testing Import–Export Functions for the DTA Tool
Conclusions
Acknowledgments
Notes
References
10. Challenges for the Development of Linked Open Data for Research in Multilingualism
Introduction
Requirements for Conducting Research with Multilingual Populations
Development of Linguistic Linked Open Data (LLOD)
Design of Any Primary Research Tool Appropriate to Achieve the Vision of LLOD
Acknowledgments
Notes
References
11. Research Libraries as Partners in Ensuring the Sustainability of E-science Collaborations
E-science: Fourth Paradigm, Linked Data, and Research Libraries
arXiv: E-science as Scholarly Enterprise
Linked Open Data: Innovation in Support of Sustainability
Notes
References
List of Contributors
Author Index
Thematic Index