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LA RED SEMÁNTICA

Curso 2020/2021/Subject's code24409189

LA RED SEMÁNTICA

BIBLIOGRAFÍA COMPLEMENTARIA


Además de la bibliografía básica se aportará materiales didácticos a través del curso virtual los cuales cubren diversos puntos del programa. 

Un libro de referencia reciente, que permite informarse sobre lo más actualizado en el campo de los datos en abierto y de su relaciçón con la web semántica, es el siguiente:

 

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

Editors: Antonio Pareja-Lora, María Blume, Barbara C. Lust, and Christian Chiarcos.

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.

Publication Year: 2020.

Publisher: The MIT Press, https://mitpress.mit.edu.

Book URL: https://mitpress.mit.edu/books/development-linguistic-linked-open-data-resources-collaborative-data-intensive-research-language.

ISBN (paperback):  9780262536257

Pages: 272

 

Abstract: 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.

 

Table of Contents:

  • Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences: An Introduction (Barbara C. Lust, María Blume, Antonio Pareja-Lora, and Christian Chiarcos)
  1. Open Data—Linked Data—Linked Open Data—Linguistic Linked Open Data (LLOD): A General Introduction (Christian Chiarcos and Antonio Pareja-Lora)
  2. Whither GOLD? (D. Terence Langendoen)
  3. Management, Sustainability, and Interoperability of Linguistic Annotations (Nancy Ide)
  4. Linguistic Linked Open Data and Under-Resourced Languages:From Collection to Application (Steven Moran and Christian Chiarcos)
  5. A Data Category Repository for Language Resources (Kara Warburton and Sue Ellen Wright)
  6. Describing Research Data with CMDI—Challenges to Establish Contact with Linked Open Data (Thorsten Trippel and Claus Zinn)
  7. Expressing Language Resource Metadata as Linked Data: The Case of the Open Language Archives Community (Gary F. Simons and Steven Bird)
  8. TalkBank Resources for Psycholinguistic Analysis and Clinical Practice (Nan Bernstein Ratner and Brian MacWhinney)
  9. Enabling New Collaboration and Research Capabilities in Language Sciences: Management of Language Acquisition Data and Metadata with the Data Transcription and Analysis Tool (María Blume, Antonio Pareja-Lora, Suzanne Flynn, Claire Foley, Ted Caldwell, James Reidy, Jonathan Masci, and Barbara Lust)
  10. Challenges for the Development of Linked Open Data for Research in Multilingualism (María Blume, Isabelle Barrière, Cristina Dye, and Carissa Kang)
  11. Research Libraries as Partners in Ensuring the Sustainability of E-science Collaborations (Oya Y. Rieger)