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

Author:

Sajjadian Maryam,Scheider Simon

Abstract

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.

Publisher

Copernicus GmbH

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Classification of Spatial Objects with the Use of Graph Neural Networks;ISPRS International Journal of Geo-Information;2023-02-21

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