[Esip-agclimate] Fw: [EXTERNAL] ACC telecon on Tuesday 2021-04-06 @ 1500 hrs eastern on Knowledge Graphs for Environmental Risk Management: Technical Overview of Neo4j Technologies for Semantics / AI / ML

Tue Apr 6 13:18:12 EDT 2021

Reminder: ACC telecon is TODAY, April 6th, 3 pm!

Presentation by Neo4j: "Knowledge Graphs for Environmental Risk Management: Technical Overview of Neo4j Technologies for Semantics / AI / ML"

________________________________
From: Esip-agclimate <esip-agclimate-bounces at lists.esipfed.org> on behalf of Brian Wee via Esip-agclimate <esip-agclimate at lists.esipfed.org>
Sent: Friday, April 2, 2021 1:05 PM
To: esip-agclimate at lists.esipfed.org <esip-agclimate at lists.esipfed.org>
Subject: [EXTERNAL] [Esip-agclimate] ACC telecon on Tuesday 2021-04-06 @ 1500 hrs eastern on Knowledge Graphs for Environmental Risk Management: Technical Overview of Neo4j Technologies for Semantics / AI / ML

Hi,

At our next scheduled call of the Agriculture and Climate Cluster (ACC), we have arranged for a talk titled "Knowledge Graphs for Environmental Risk Management: Technical Overview of Neo4j Technologies for Semantics / AI / ML" presented by Neo4j.

You may also recall earlier demonstrations of using the Neo4j graph database to visualize the conceptual connections between various documents as it relates to agriculture and carbon management.  As you've seen from our previous monthly meetings and the recent 2021 ESIP Winter Meeting ACC-organized sessions, we're continuing with our push a broad range of science and technology issues to foster transdisciplinary thinking for managing agro-ecosystems.  During the ACC call, Bill Teng will also be highlighting a possible Fall 2021 workshop, if approved by the USDA, that we'll be designing over the next few months.

Agenda for the ACC call:  https://docs.google.com/document/d/1xCLTjuk84Yf5uBtwGXXII58ugzXdZoDogt7SQkIL6zE/edit#<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fdocument%2Fd%2F1xCLTjuk84Yf5uBtwGXXII58ugzXdZoDogt7SQkIL6zE%2Fedit%23&data=04%7C01%7Cwilliam.l.teng%40nasa.gov%7Cb204a7d34b9041732f2408d8f5f9a7ad%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C637529799896414943%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Y6vvxx%2BZMzvMtMUc56ewOSSAsIsHyzP3wcro8Q2ncDg%3D&reserved=0>

Zoom URL:  https://us02web.zoom.us/j/82026434814?pwd=Z0lnYUxzZklkUm10VEZKT015b3luZz09<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fus02web.zoom.us%2Fj%2F82026434814%3Fpwd%3DZ0lnYUxzZklkUm10VEZKT015b3luZz09&data=04%7C01%7Cwilliam.l.teng%40nasa.gov%7Cb204a7d34b9041732f2408d8f5f9a7ad%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C637529799896424904%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=u89ZBMq%2FUWz2mSRQQo4JSSmEN1MRghGVkoAZA3U3wuw%3D&reserved=0>

Zoom Passcode: 896682

Full Zoom connection details below, after the abstract.

Abstract

Humans interact with the environment constantly, but there are many environmental risks, such as climate change and natural disasters, air pollution and chemical safety, that affect the quality of life, years of healthy life lived, and health disparities. Environmental risks come at a very high cost. For example, a new study on the comprehensive cost of wildfires estimates that the 2018 California wildfires cost the state around $150B and thousands of deaths.

Environmental risks are difficult to monitor and manage because there are many such risks, especially those related to climate change, water, energy use, waste and biodiversity. These risks are often interconnected (i.e., compound or cascading).

Graph databases are increasingly being used to analyze and act on connections, whether for risk management and compliance, master data management, real-time recommendations or analytics and machine learning. This presentation will cover the following:

  1.  Introduction to Neo4j and knowledge graphs
  2.  A discussion of the most common knowledge graph use cases
  3.  How Neo4j’s underlying data model (the property graph model) relates to other graph models, including RDF
  4.  Practical demonstration of building a knowledge graph using NLP and SWEET ontology in Neo4j

Attendees may elect to receive a printed copy of the O’Reilly book, Graph Algorithms: Practical Examples in Apache Spark & Neo4j.

Zoom connection details:

https://us02web.zoom.us/j/82026434814?pwd=Z0lnYUxzZklkUm10VEZKT015b3luZz09<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fus02web.zoom.us%2Fj%2F82026434814%3Fpwd%3DZ0lnYUxzZklkUm10VEZKT015b3luZz09&data=04%7C01%7Cwilliam.l.teng%40nasa.gov%7Cb204a7d34b9041732f2408d8f5f9a7ad%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C637529799896424904%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=u89ZBMq%2FUWz2mSRQQo4JSSmEN1MRghGVkoAZA3U3wuw%3D&reserved=0>
Meeting ID: 820 2643 4814
Passcode: 896682

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--

Brian Wee, Ph.D.<https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fweebrian&data=04%7C01%7Cwilliam.l.teng%40nasa.gov%7Cb204a7d34b9041732f2408d8f5f9a7ad%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C637529799896434857%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=WgANV5gH73Qpz2H%2B1DgFMGRcrQr8ahVlbkyqcwMFZNY%3D&reserved=0>
Founder and Managing Director
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Co-chair of the
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************************************************************************

* Bill Teng, Ph.D.                   |  William.L.Teng at nasa.gov<mailto:William.L.Teng at nasa.gov>        *

* Goddard Earth Sciences DISC        |  (301) 614-5164 (voice)         *

* (ADNET Systems, Inc.)              |  (301) 614-5268 (fax)           *

* NASA Goddard Space Flight Center   |  http://disc.gsfc.nasa.gov/<https://urldefense.proofpoint.com/v2/url?u=https-3A__gcc02.safelinks.protection.outlook.com_-3Furl-3Dhttp-253A-252F-252Fdisc.gsfc.nasa.gov-252F-26data-3D02-257C01-257C-257C35ea6cd879b749ed336b08d7533d7f50-257Ced5b36e701ee4ebc867ee03cfa0d4697-257C0-257C0-257C637069395902117989-26sdata-3DjU9JCAHjeEa9sYUNVlkIJN0u7cTfxmbyo5cIiMSq030-253D-26reserved-3D0&d=DwMFAw&c=ApwzowJNAKKw3xye91w7BE1XMRKi2LN9kiMk5Csz9Zk&r=img-rO8ZBhblrx41WBkIFetQkzEsdhT-s4UDDrJe0Xk&m=Nf8ZL1xhSaACSYiSGMEwPsrb7EOG6HsqsJvr3KgxW4M&s=54Xyi_f1Y4PKHNeFK7RQDVp4BjfPTAvJI4MHwzHcoIE&e=>     *

* Code 610.2                         |                                 *

* Greenbelt. MD. 20771  U.S.A.       |                                 *

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