Publication:

Linguistic Resources Enhanced with Geospatial Information

Date

Date

Date
2013
Conference or Workshop Item
Published version

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Littauer, R., Villazon-Terrazas, B., & Moran, S. (2013). Linguistic Resources Enhanced with Geospatial Information (C. Chiarcos, P. Cimiano, T. Declerck, & J. McCrae, Eds.; pp. 53–58). Association for Computational Linguistics. http://www.aclweb.org/anthology/W13-5508.pdf

Abstract

Abstract

Abstract

In this short report on language data and RDF tools, we describe the transformation process that we undertook to convert spreadsheet data about a group of endangered languages and where they are spoken in West Africa into an RDF triple store. We use RDF tools to organize and visualize these data on a world map, accessible through a web browser. The functionality we develop allows researchers to see where these languages are spoken and to query the language data. This type of development not only showcases the power of RDF, but it prov

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Creators (Authors)

  • Littauer, Richard
  • Villazon-Terrazas, Boris
  • Moran, Steven

Event Title

Event Title

Event Title
Proceedings of the 2nd Workshop on Linked Data in Linguistics: Representing and linking lexicons, terminologies and other language data

Event Location

Event Location

Event Location
Pisa

Event Country

Event Country

Event Country
Italy

Event Start Date

Event Start Date

Event Start Date
2013-09-23

Event End Date

Event End Date

Event End Date
2013-09-23

Page range/Item number

Page range/Item number

Page range/Item number
53

Page end

Page end

Page end
58

Item Type

Item Type

Item Type
Conference or Workshop Item

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Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2015-01-15

OA Status

OA Status

OA Status
Green

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Free Access at

Free Access at
Official URL

Official URL

Official URL

Official URL

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Citation copied

Littauer, R., Villazon-Terrazas, B., & Moran, S. (2013). Linguistic Resources Enhanced with Geospatial Information (C. Chiarcos, P. Cimiano, T. Declerck, & J. McCrae, Eds.; pp. 53–58). Association for Computational Linguistics. http://www.aclweb.org/anthology/W13-5508.pdf

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