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Connected linguistic data: study of Linking Open Data initiative

Grant number: 18/05101-3
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): July 01, 2018
Effective date (End): June 30, 2019
Field of knowledge:Applied Social Sciences - Information Science - Library and Information Science
Principal Investigator:Ana Carolina Simionato Arakaki
Grantee:Andrieli Cristina Botácio
Home Institution: Centro de Educação e Ciências Humanas (CECH). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

It is remarkable that the current Web brings information into a natural, unstructured language, appearing in HTML, and presenting graphic elements. It can be said that this is not a problem for humans, because it is easily understood by people, but machines are not able to understand such complexity. For this reason, Tim Berners-Lee proposed the semantic web, which aims to generate meaning for the Web pages. With of Linked data - data connection on the Web - it is sought to make software agents and people work in a cooperative manner, achieving the objectives efficiently. Thinking about this, the project aims to map the designation of the data sets corresponding to the linguistic category inserted into an initiative that is an example of the application of Linked data, which is the Linking Open Data (LOD), which brings data published in format of data linked. The results are expected to present a systematic analysis of the linguistic data sets present in this initiative. (AU)