Geodata source retrieval by multilingual/semantic query expansion: the Case of Google Translate and WordNet version 3.1

Maryam Sajjadian*, Simon Scheider

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this article, we examined the potential of the current version of WordNet and Google Translate API to enhance the quality of geodata source retrieval in the Dutch geoinformation portal (PDOK) using semantic keywords for the geographic phenomena requested. Keywords gathered from real users’ questions in natural language extracted in an English corpus. Then, these keywords were expanded using WordNet and Google Translate API. Lastly, the results of query expansion were evaluated compared to a manual gold standard and based on information retrieval metrics. Our study shows that the results of query expansion help users by reformulating good alternative queries.
Original languageEnglish
Title of host publicationProceedings of the 25th AGILE Conference on Geographic Information Science, 2022.
EditorsE. Parseliunas, A. Mansourian, P. Partsinevelos, J. Suziedelyte-Visockiene
PublisherCopernicus Publications
Pages1-6
DOIs
Publication statusPublished - 2022

Publication series

NameAGILE: GIScience Series
PublisherCopernicus Publications
Volume3

Keywords

  • semantic
  • query expansion
  • information retrieval metrics

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