Difference between revisions of "ArcGIS Knowledge Presentation, ESRI"

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*This month we continued our survey of federal agencies implementations of Knowledge Graph technology for dataset discovery, with a presentation from ESRI on ArcGIS Knowledge, ESRI's latest knowledge graphing product offering.*
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'''This month we continued our survey of federal agencies implementations of Knowledge Graph technology for dataset discovery, with a presentation from ESRI on ArcGIS Knowledge, ESRI's latest knowledge graphing product offering.'''
  
 
AGENDA
 
AGENDA
 
Discovery Cluster Telecon for April 20, 2023, 3PM EDT:
 
Discovery Cluster Telecon for April 20, 2023, 3PM EDT:
1) Introductions (5 min)
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# Introductions (5 min)
2) ArcGIS Knowledge: integrating graph and spatial analytics to support data discovery, collaborative investigations, link analysis, and information sharing across organizations - 30 min (Victoria Anderson and Adam Martin, ESRI)
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# ArcGIS Knowledge: integrating graph and spatial analytics to support data discovery, collaborative investigations, link analysis, and information sharing across organizations - 30 min (Victoria Anderson and Adam Martin, ESRI)
3) Cluster business - 15 min (summer meeting session ideas, May meeting topic, and other discussion or announcements)
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# Cluster business - 15 min (summer meeting session ideas, May meeting topic, and other discussion or announcements)
  
 
Notes:
 
Notes:
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 +
'''ESRI Presentation'''
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* ArcGIS Knowledge is an extension to ArcGIS Enterprise
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* Leverage graph algorithms, graph queries, as well as some graph visualization options.
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* Products of ArcGIS spatial analysis can be stored in the knowledge graph.
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* ESRI Knowledge addresses use cases that require spatial analytics.
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* Visualization brings the non-spatial relationships data into a map to better visualize the graph.
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* USGS Pubs Warehouse use case:
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** Connectivity was measured using find between.  Influence was measured using centrality.
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** Joint geographic and graph based searches look for publications about drought from the Colorado River Basin.
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** Citation analysis to assign influence to publications.
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* Other use cases ESRI is exploring:
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** Exploring ways to apply natural language processing to extract keywords and return this contextual information to the graph.
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** Pull technical metadata from the ArcGIS Enterprise information model for IT management/ Network management use cases.  Relationships between data stores, services, maps, apps, users, and groups.
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* Supports Neo4J Enterprise, which can be managed totally separately, or as a pattern to load data to Neo4J.
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[[Discovery_Cluster|Back to Discovery Cluster Wiki Page]]

Latest revision as of 13:53, April 26, 2023

This month we continued our survey of federal agencies implementations of Knowledge Graph technology for dataset discovery, with a presentation from ESRI on ArcGIS Knowledge, ESRI's latest knowledge graphing product offering.

AGENDA Discovery Cluster Telecon for April 20, 2023, 3PM EDT:

  1. Introductions (5 min)
  2. ArcGIS Knowledge: integrating graph and spatial analytics to support data discovery, collaborative investigations, link analysis, and information sharing across organizations - 30 min (Victoria Anderson and Adam Martin, ESRI)
  3. Cluster business - 15 min (summer meeting session ideas, May meeting topic, and other discussion or announcements)

Notes:

ESRI Presentation

  • ArcGIS Knowledge is an extension to ArcGIS Enterprise
  • Leverage graph algorithms, graph queries, as well as some graph visualization options.
  • Products of ArcGIS spatial analysis can be stored in the knowledge graph.
  • ESRI Knowledge addresses use cases that require spatial analytics.
  • Visualization brings the non-spatial relationships data into a map to better visualize the graph.
  • USGS Pubs Warehouse use case:
    • Connectivity was measured using find between. Influence was measured using centrality.
    • Joint geographic and graph based searches look for publications about drought from the Colorado River Basin.
    • Citation analysis to assign influence to publications.
  • Other use cases ESRI is exploring:
    • Exploring ways to apply natural language processing to extract keywords and return this contextual information to the graph.
    • Pull technical metadata from the ArcGIS Enterprise information model for IT management/ Network management use cases. Relationships between data stores, services, maps, apps, users, and groups.
  • Supports Neo4J Enterprise, which can be managed totally separately, or as a pattern to load data to Neo4J.

Back to Discovery Cluster Wiki Page