Geolake Search (the future of the SDIS is in improving its catalog )
Keywords:
catalog, SDI, Big Data, search, ElasticsearchAbstract
Why are spatial catalogs as they are? Why do we complain so
much about their behavior? Do they really serve their purpose
or should we already consider them technical debt? This article
questions the current spatial catalogs proposing a different
approach centered on searching metainformation constructed
from the spatial objects contained in the data sets. To give support
to this idea, this article explains how it can be implemented
on one of the most advanced search engines of the moment,
Elasticsearch, capable of finding relevant information among
several billions of spatial objects.
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Published
2019-05-01
How to Cite
Martín, S., López-Pellicer, F. J., Valiño García, J., & Zarazaga-Soria, F. J. (2019). Geolake Search (the future of the SDIS is in improving its catalog ). REVISTA INTERNACIONAL MAPPING, 28(194), 24–30. Retrieved from https://ojs.revistamapping.com/MAPPING/article/view/180
Issue
Section
Artículos Científicos