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Communication Dans Un Congrès Année : 2022

Identifying the key resources and missing elements to build a knowledge graph dedicated to spatial dataset search

Résumé

The number of spatial datasets available online has increased exponentially in recent years. Therefore, the search for spatial datasets is becoming a fourishing research field. The use of knowledge graphs has become rampant in search engines and in information retrieval. In this article, we identify the main resources needed and those missing to allow a knowledge graph to support spatial dataset search. We then apply our approach to the water domain in France by building a dedicated knowledge graph and describe an evaluation method to measure its effectiveness.
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Origine : Publication financée par une institution
Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification

Dates et versions

hal-04034939 , version 1 (31-08-2023)

Identifiants

Citer

Mehdi Zrhal, Bénédicte Bucher, Fayçal Hamdi, Marie-Dominique van Damme. Identifying the key resources and missing elements to build a knowledge graph dedicated to spatial dataset search. KES 2022, 26th International Conference Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2022, Verona, Italy. pp.2911-2920, ⟨10.1016/j.procs.2022.09.349⟩. ⟨hal-04034939⟩
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