Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences
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. The open access edition of this book was made possible by generous funding from Knowledge Unla...
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| Main Authors | , , , |
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| Format | eBook Book |
| Language | English |
| Published |
Cambridge
The MIT Press
2019
Knowledge Unlatched MIT Press |
| Edition | 1 |
| Series | The MIT Press |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9780262536257 0262536250 0262357216 9780262357210 0262357224 9780262357227 |
| DOI | 10.7551/mitpress/10990.001.0001 |
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| Abstract | 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.
The open access edition of this book was made possible by generous funding from Knowledge Unlatched.
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 |
|---|---|
| AbstractList | This book is the product of an international workshop dedicated to addressing data accessibility in the linguistics field. It is therefore vital to the book’s mission that its content be open access. Linguistics as a field remains behind many others as far as data management and accessibility strategies. The problem is particularly acute in the subfield of language acquisition, where international linguistic sound files are needed for reference. Linguists' concerns are very much tied to amount of information accumulated by individual researchers over the years that remains fragmented and inaccessible to the larger community. These concerns are shared by other fields, but linguistics to date has seen few efforts at addressing them. This collection, undertaken by a range of leading experts in the field, represents a big step forward. Its international scope and interdisciplinary combination of scholars/librarians/data consultants will provide an important contribution to the field. 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. The open access edition of this book was made possible by generous funding from Knowledge Unlatched. 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 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 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. 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.ContributorsIsabelle 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 |
| Author | Pareja-Lora, Antonio Blume, María Chiarcos, Christian Lust, Barbara |
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| TableOfContents | Intro -- 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 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 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 |
| Title | Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences |
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