Fuzzy Extensions of Databases

Pivert, Olivier; Smits, Grégory

doi:10.1007/978-3-030-54341-9_17

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2022

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“…This process allows the algorithm to find a stronger semantic association with the original query and discriminate between the relevant and irrelevant documents (Chen & Yang, 2020). Consequently, the search engine can cope with the mismatch problem and increases retrieval performance by improving a short and incomplete query (Pivert & Smits, 2020).…”

Section: Introductionmentioning

confidence: 99%

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

Sajjadian

Scheider²

2022

AGILE GIScience Ser.

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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.

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Section: Introductionmentioning

confidence: 99%