[Esip-agclimate] Agriculture and Climate Cluster updates on summer meeting 2021 and wildfire knowledge management
Brian Wee
bwee at massiveconnections.com
Tue Apr 20 10:50:07 EDT 2021
Hello Agriculture and Climate Cluster (ACC):
Updates:
1. 2021 ESIP summer meeting proposal focused on wildfires. Our cluster
has partnered with the Semantic Harmonization Cluster to submit a meeting
proposal titled "Identifying technology capabilities that meet wildfire
science and practitioner requirements". The focus will be a continuation
of our past discussions on informatics for knowledge management focused on
wildfires. The proposal can be viewed at:
https://tinyurl.com/esipaccsummer2021
2. Recent knowledge management webinar focused on wildfires. The
recording of the most recent ACC monthly meeting has been posted to ESIP's
YouTube channel. Guest speakers from the graph database company Neo4j
presented on "Knowledge Graphs for Environmental Risk Management: Technical
Overview of Neo4j Technologies for Semantics / AI / ML". The recording is
accessible at: https://www.youtube.com/watch?v=8jEiTmqI4S4&t=424s. Check
out the text below for a text summary of the contents of the Neo4j webinar
focused on wildfires.
3. Free Neo4j book available until 2021-06-02. The above webinar included
an offer from Neo4j to send interested parties a free copy of a Neo4j book
titled "O’Reilly Graph Algorithms: Practical Examples in Apache Spark &
Neo4j". If you are interested in getting a copy of the book, sign up at:
https://tinyurl.com/a6k8swj3
4. Links to webinar resources. A URL to the webinar presentation slides,
presentation abstract, and other information is available at the ACC
meeting notes at https://tinyurl.com/ykjuhxxw
Text summary and time index for the most recent ACC meeting:
00:00:00 | Agriculture and Climate Cluster updates
00:07:00 | Introductions
00:09:28 | Neo4j overview
00:15:28 | Semantics and knowledge graphs
00:22:16 | Knowledge graph use cases
00:29:00 | Neo4j knowledge graph architecture and technology stack
00:32:40 | Customer case studies
00:36:24 | Relationship between property graph and RDF data models
00:40:54 | Demo overview: parsing California wildfire related
publications
00:43:26 | Ingesting wildfire publications
00:44:53 | Entity extraction using Neo4j's APOC lib and Google Cloud
Natural Language API
00:46:18 | Semantic enrichment linking entities to concepts using Neo4's
APOC lib and Wikipedia
00:48:37 | Querying the wildfire knowledge graph
00:53:37 | Inferencing implied relationships using ontologies
00:56:04 | Using the SWEET ontology and Wikipedia to reason about
wildfires
01:01:05 | Discussion
- Brian
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