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Geospatial information is a common resource used at personal and corporative levels for decision making. Nowadays, a relevant percentage of the geospatial data on the web is provided by standardized services. However, due to the deficiencies in the service content descriptions, the data required for a task are not easy to find. To improve the description of geospatial information on the Web, this work proposes a process to construct a Linked Data model of geospatial resources that allows semantic searching and browsing. This is done by crawling the web in search of available geospatial services, and enriching their descriptions with concepts from common knowledge organizations models. As use case, we have created a Linked Data model describing the Web Map Services published by Spanish organizations.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.