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

LSA Summer Institute 2015

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Program

Abstracts
& Additional Resources

Organizing Committee & Speakers

You are invited to attend the
Workshop on the Development of Linguistic Linked Open Data (LLOD) Resources
for Collaborative Data Intensive Research in the Language Sciences
,
to be held in conjunction with the Linguistic Society of America 2015 Summer Institute themed “Linguistic Theory in a World of Big Data”.

·         Funded by the National Science Foundation and the Cornell Institute for Social Sciences, this two-day workshop will be open to the public and free.

·         This Workshop will convene a multidisciplinary group of international scholars currently engaged in the technical and conceptual challenges involved in linking data for collaborative research.

·         Research in the field of language acquisition, including the acquisition of multilingualism, will provide a case study of urgent collaborative research needs in the field.

·         The purpose of this Workshop is to develop communication and advanced synergy between scholars with active research needs and those developing technical capacity to enable solutions through the various multifaceted demands of LOD, including both operative engineering advances and ontologies enabling interoperable language data.

·         A hands-on workshop to explore initial cyberinfrastructure endeavors will be available to pre-registrants.

 

Dates & Time:

July 25 & 26, 2015, 9:00 AM – 5:00 PM

Location:

University of Chicago – Stuart Hall – Room: Stuart 101 (S101)

Contact Info:

Emily Bednarski, emb289@cornell.edu

Admission:

Free, but participants are asked to preregister by clicking here.

Proceedings:

NEW: The whole (zipped) set of presentations of the workshop can be found here.

Please click here and complete the form to express your interest in receiving information regarding the proceedings of the Workshop.

Acknowledgment and Disclaimer:

This workshop material is based upon work supported by the National Science Foundation under Grant No. 0753415. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Additional support for this workshop is provided by the Cornell Institute for the Social Sciences.