Ontolog Forum

Session ESIP Cross-Domain Collaboratory
Duration 1.5 hour
Date/Time 06 Apr 2022 16:00 GMT
9:00am PDT/12:00pm EDT
5:00pm BST/6:00pm CEST
Convener Ravi Sharma
Track Environment Disasters

Ontology Summit 2022 ESIP Cross-Domain Collaboratory

Dealing with Disasters

The COVID-19 pandemic as well as other pandemics and disasters have prompted an impressive, worldwide response by governments, industry, and the academic community. Ontologies can play a significant role in search, data description, interoperability and harmonization of the increasingly large data sources that are relevant to disasters such as the COVID-19 pandemic. The Ontology Summit 2022 examined the overall landscape of disasters and related ontologies. A framework consisting of a set of dimensions was developed to characterize this landscape. The framework was applied to health-related disasters, environmental disasters, as well as aerospace and cyberspace disasters. It was found that there are many cross-domain linkages between different kinds of disasters and that ontologies developed for one kind of disaster can be repurposed for other kinds. A representative sample of projects that have been developing and using ontologies for disaster monitoring and response management is presented to illustrate best practices and lessons learned. The Communiqué ends by presenting the findings and recommendations of the summit.


  • Dave Jones and Karen Moe ESIP Cross-Domain Collaboratory: Challenges and Opportunities Slides Video Recording
  • As you may know, we have developed a roadmap for the ESIP (Earth Science Information Partners) Disaster Lifecycle Cluster that takes us through the Winter meeting 2023. We are looking at Wildfires in three phases: Pre-Wildfire (winter meeting 2022), During Wildfire (summer 2022), and Post-Wildfire (winter 2023) and specifically what trusted datasets are available that we can present to communities, home owners associations and neighborhoods to ‘up their awareness’ of how data can be used as a strategic asset to improve their situational awareness and decision making. One key topic that is of great interest to us is making sure scientific products and/or descriptions presented to public citizens have a dynamic linkage to an active vocabulary database that can link and decipher terms used in briefings. For example, if we were to identify when the next satellite pass is going to occur so we can present new data, the term ‘satellite pass’ may not have any meaning to the public. We would like to see an active vocabulary database function that immediately makes that term a hyperlink which describes what a ‘satellite pass’ means. [i.e. satellite pass when the satellite is expected to fly/orbit over our area so it can collect data]. Once something like this is possible, we can activate GeoCollaborate, our data sharing and cross-platform interoperability collaboration technology, with a direct link into this dynamic service so disparate terms used can be understood by everyone.
  • Karen and I (Dave Jones) will describe our approach to data interoperability, how we share the data, how it gets interpreted and mis-interpreted and what challenges and opportunities are ahead. We will provide the attendees with a brief demonstration of GeoCollaborate and how it is being used today and how we see it being used in the future to connect science data with communities. Each of the clusters we have invited to speak for 3-4 minutes include:
    • Ag&Climate - Brian Wee, MassiveConnections
    • Air Quality - Steve Young, Innovate, Inc.
    • EnviroSensing - Scotty Strachan, University of Nevada Reno
    • Data Readiness – Douglas Rao, NOAA
    • Information Quality - Bob Downs, SEDAC
  • We will then move into a discussion period to encourage engagement with the attendees of the summit session. The format of this session will be very similar to the ESIP Winter Meeting session that we conducted and this session can be accessed via the ESIP website.
  • Bios
    • Karen Moe is a former technology manager at the NASA Goddard Space Flight Center, retiring after 40+ years at the space agency. She managed technology development for Advanced Information Systems Technology for Earth Science until 2015. In the early days of the EOSDIS, Karen helped create the Earth Science Data and Information System prototyping projects and contributed to the ESDIS working groups with a focus on technology infusion. Karen also served as the chair of the AGU Earth and Space Science Informatics (ESSI) focus group and is a former Board member of the Earth Science Information Partners (ESIP). She currently co-chairs the ESIP Disasters Lifecycle Cluster, and volunteers in local environmental groups, notably serving as the Cheverly liaison to the Univ. of Maryland’s School of Public Health team implementing a hyper-local sensor network for monitoring air quality.
      • [Note for information: Dr. Ravi Sharma, Chair Ontology Summit 2022, has worked at GSFC on the above described ESDIS and Active Archives as well as on Sensors and satellites, under the technology management contracts for Karen Moe's GSFC Office.]
    • Dave Jones
      • CEO, StormCenter Communications, Inc.(
      • Dave Jones is a 35-year veteran of the weather industry and worked as an on-air meteorologist for NBC4 WRC-TV, the NBC Owned and Operated TV station in Washington, DC for nearly a decade in the 1990s. While working for NBC, Dave developed the FIRST television weather website in the nation in 1995 and launched a new era in communicating NASA data to the public. The website, “WeatherNet4” positioned NBC4 in Washington, DC and NBC across the nation as a broadcast leader and early innovator of Internet technology. In 2001, Dave founded StormCenter Communications, Inc., a NOAA Weather-Ready Nation Ambassador, inventing a technology, under the Federal Government’s SBIR program, that enables the sharing of trusted data across any web mapping platform, in real-time, improving situational awareness and decision making across sectors, agencies and organizations. This revolutionary technology, called GeoCollaborate, and has been awarded Phase III SBIR status and is being adopted by US Federal Agencies, States, and private sector organizations to enable more effective decision making and real-time information sharing for a wide variety of markets including military, intelligence, and civil agencies and can address issues such as climate resilience planning, energy and transportation, food, agriculture, healthcare, cyber and homeland security. GeoCollaborate is being used to put science data to work in ways that non-science decision makers can understand.
      • Dave is a past president of the Federation of Earth Science Information Partners (ESIP Federation), and continues to co-chair the ESIP Disaster Lifecycle Cluster focusing on evolving the ESIP Ecosystem of Innovation by placing science data into decision making environments and advancing science collaboration. Dave was also selected as ESIP’s Partner of the Year for 2020. In addition, Dave co-founded and co-chairs the AMS Weather Ready Nation Symposium that is in its 12th year of existence as a key AMS symposium.

Conference Call Information

  • Date: Wednesday, 06 Apr 2022
  • Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
  • Expected Call Duration: 1.5 hours
  • The Video Conference URL is
    • Meeting ID: 881 4427 2329
    • Passcode: 553714
  • Chat Room:
    • If the chat room is not available, then use the Zoom chat room.
  • One tap mobile



[12:25] Ravi Sharma: Welcome to this wonderful session addressed by Karen Moe and Dave Jones ESIP clusters and disasters areas.

[12:25] Ravi Sharma: Karen and Dave - are ESDIS Metadata tied to ORL?

[12:28] Gary BC: Hard to see the semantics in the ORL diagram. It might be in judging the metadata quality.

[12:32] Gary BC: What impact have FAIR principles have on the ORL effort? How is the question of interoperability gauged? Is it just a rating by people providing source data?

[12:35] Ravi Sharma: from Dave Jones:

22 people were killed on White Island in New Zealand due to lack of data access and warning.)

[12:39] Ravi Sharma: We would have liked to see USDA and FAO as well!

[12:43] Gary BC: It would be nice to have some automated intelligence examples for our synthesis and communique.

[12:47] Ravi Sharma: Q for Bob Downs - are these relevance updates automated or will be automatically replaced?

[12:48] Gary BC: The presentations all provide an organizational view of data and operation on disasters. It may remain a challenge to get some knowledge-level processes, such as data harmonization, engaged in these organizations and their activities.

[13:01] Ravi Sharma: Q ask about Horizontal visual range as a measure by sensors.

[13:03] Ravi Sharma: Soil moisture microwave radiometry and near IR

[13:05] Ravi Sharma:

[13:08] Janet Singer: Impressive maturity in this integration effort that addresses the quality issues Matthew West mentioned last week, getting the best trusted data to the decision makers at the right time.

[13:14] Ravi Sharma: what a wonderful transition to operations.

[13:19] Ravi Sharma: Wow on end to end cross collaboration use case e.g. OGC

[13:24] Ravi Sharma: vocabularies and ontologies of fire related feedback requested from ontology community

[13:25] Ravi Sharma: relational vocabularies in collaborate

[13:37] Ravi Sharma: FAIR Comment by Gary was appreciated.

[13:43] Gary BC: Air quality was mentioned and a related idea is air pollution simply defined as A pollution process during which particulates or other contaminants are released into a portion of air. It is in the EnvO ontology.

[13:43] Gary BC: Axioms include: environmental pollution

  • occurs in some air
  • has input some (environmental system and (has part some air))
  • has output some (environmental system and (has part some contaminated air))

[13:44] Ravi Sharma: link from Bob downs Peng G, Lacagnina C, Downs RR, Ganske A, Ramapriyan H,Ivánová I, Wyborn L, Jones D, Bastin L, Shie CL, Moroni DF. 2022. Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets. Data Science Journal, 21: 8, pp. 120.


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