Geodata source retrieval by multilingual/semantic query expansion: the Case of Google Translate and WordNet version 3.1
Publication date
2022
Authors
Sajjadian, Maryam
Scheider, Simon
Editors
Parseliunas, E.
Mansourian, A.
Partsinevelos, P.
Suziedelyte-Visockiene, J.
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
cc_by
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.
Keywords
semantic, query expansion, information retrieval metrics
Citation
Sajjadian, M & Scheider, S 2022, Geodata source retrieval by multilingual/semantic query expansion : the Case of Google Translate and WordNet version 3.1. in E Parseliunas, A Mansourian, P Partsinevelos & J Suziedelyte-Visockiene (eds), Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022.., 60, AGILE: GIScience Series, vol. 3, Copernicus Publications, pp. 1-6. https://doi.org/10.5194/agile-giss-3-60-2022