Difference between revisions of "Linking Fast and Wikipedia"

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'''Linking Fast and Wikipedia''' - scientific work related to Wikipedia quality published in 2017, written by Rick Bennett, Eric Childress, Kerre Kammerer and Diane Vizine-Goetz.
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'''Linking Fast and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Rick Bennett]], [[Eric Childress]], [[Kerre Kammerer]] and [[Diane Vizine-Goetz]].
  
 
== Overview ==
 
== Overview ==
This paper describes a research project to develop automated techniques for linking FAST (Faceted Application of Subject Terminology) to Wikipedia articles. The research is motivated by libraries’ interest in connecting library resources such as authority files to non-library linked data resources such as GeoNames and DBpedia (a dataset containing structured data extracted from Wikipedia). Of the approximately 183,000 non-subdivided topical headings in the FAST vocabulary, 76,000 terms were matched to Wikipedia article titles with 95% accuracy. Wikipedia links in the FAST authority file and FAST linked data enable people and software applications to take advantage of information in both of these resources.
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This paper describes a research project to develop automated techniques for linking FAST (Faceted Application of Subject Terminology) to [[Wikipedia]] articles. The research is motivated by libraries’ interest in connecting library resources such as authority files to non-library linked data resources such as GeoNames and [[DBpedia]] (a dataset containing structured data extracted from Wikipedia). Of the approximately 183,000 non-subdivided topical headings in the FAST vocabulary, 76,000 terms were matched to Wikipedia article titles with 95% accuracy. Wikipedia links in the FAST authority file and FAST linked data enable people and software applications to take advantage of information in both of these resources.

Revision as of 07:32, 5 June 2019

Linking Fast and Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Rick Bennett, Eric Childress, Kerre Kammerer and Diane Vizine-Goetz.

Overview

This paper describes a research project to develop automated techniques for linking FAST (Faceted Application of Subject Terminology) to Wikipedia articles. The research is motivated by libraries’ interest in connecting library resources such as authority files to non-library linked data resources such as GeoNames and DBpedia (a dataset containing structured data extracted from Wikipedia). Of the approximately 183,000 non-subdivided topical headings in the FAST vocabulary, 76,000 terms were matched to Wikipedia article titles with 95% accuracy. Wikipedia links in the FAST authority file and FAST linked data enable people and software applications to take advantage of information in both of these resources.