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UID:pretalx-foss4g-2022-KABLGQ@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T093000
DTEND;TZID=CET:20220825T100000
DESCRIPTION:pygeoapi is an OGC API Reference Implementation. Implemented in
  Python\, pygeoapi supports numerous OGC APIs via a core agnostic API\, di
 fferent web frameworks (Flask\, Starlette\, Django) and a fully integrated
  OpenAPI capability. Lightweight\, easy to deploy and cloud-ready\, pygeoa
 pi's architecture facilitates publishing datasets and processes from multi
 ple sources. The project also provides an extensible plugin framework\, en
 abling developers to implement custom data adapters\, filters and processe
 s to meet their specific requirements and workflows. pygeoapi also support
 s the STAC specification in support of static data publishing.\n\npygeoapi
  has a significant install base around the world\, with numerous projects 
 in academia\, government and industry deployments. The project is also an 
 OGC API Reference Implementation\, lowering the barrier to publishing geos
 patial data for all users.\n\nThis presentation will provide an update on 
 the current status\, latest developments in the project\, including new co
 re features and plugins. In addition\, the presentation will highlight key
  projects using pygeoapi for geospatial data discovery\, access and visual
 ization.
DTSTAMP:20260405T025448Z
LOCATION:Room Onice
SUMMARY:pygeoapi project status 2022 - Tom Kralidis\, Francesco Bartoli\, A
 ngelos Tzotsos\, Just van den Broecke
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/KABLGQ/
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UID:pretalx-foss4g-2022-KXSW83@talks.staging.osgeo.org
DTSTART;TZID=CET:20220826T101000
DTEND;TZID=CET:20220826T101500
DESCRIPTION:The Open Geospatial Consortium API family of standards (OGC API
 ) are being developed to make it easy for anyone to provide geospatial dat
 a to the web\, and are the next generation of geospatial web API standards
  designed with resource-oriented architecture\, RESTful principles and Ope
 nAPI. In addition\, OGC APIs are being built for cloud capability and agil
 ity.\n\npygeoapi is a Python server implementation of the OGC API suite of
  standards. The project emerged as part of the OGC API efforts started in 
 2018 and provides the capability for organizations to deploy OGC API endpo
 ints using OpenAPI\, GeoJSON\, and HTML. pygeoapi is open source and relea
 sed under an MIT license. pygeoapi is built on an extensible plugin framew
 ork in support of clean\, adaptive data integration (called "providers'').
  \nElasticsearch (ES) is a search engine based on the Lucene library. It p
 rovides a distributed\, multitenant-capable full-text search engine with a
 n HTTP web interface and schema-free JSON documents.\nThe Elasticsearch da
 ta provider for pygeoapi is one of the most complete in terms of functiona
 lities and it also includes CQL support with the CQL-JSON dialect\, which 
 allows you to take extra advantage of the ES backend.\n\nThis presentation
  will provide an overview of OGC APIs\, pygeoapi and Elasticsearch integra
 tion\, and demonstrate usage in a real-world data dissemination environmen
 t.
DTSTAMP:20260405T025448Z
LOCATION:Room 4
SUMMARY:Implementing OGC APIs using Elasticsearch and pygeoapi - Tom Kralid
 is\, Francesco Bartoli\, Antonio Cerciello\, Joana Simoes
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/KXSW83/
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