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Tuesday, April 21 • 11:00am - 11:40am
Leveraging Knowledge Graphs for Environmental Challenges

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Never has understanding the environment been more crucial. The challenge: environmental data are fragmented across many different systems and formats, or lost in files. Menome Technologies show how we use multi-agent system design and neo4j to get ALL data to create environmental knowledge graphs.

Imagine what we could know about the environment if we had ALL of the data, instead of just some of the data.

Solving environmental challenges requires combining the knowledge of experts, input from community stakeholders with historical and field data. There are significant challenges though with getting all the available data into a useable state.

Data are siloed across many different enterprise and environmental data management systems, many of which use highly specialized applications, use custom data formats, and have been developed with legacy technology.

This problem is exacerbated by the fact that the environmental sector produces much of its insight in large text based environmental reports. The data in these files traditionally consume hours of data scientists valuable time in identifying and hand extracting key data from these reports.

These historical data often must also be combined with large volumes of data derived from field monitoring programs. Monitoring data ranges from IOT style devices for monitoring things such as stream flow or downhole water quality, to streams of video or acoustic data used to identify wildlife.

Many of these data can be collected in places where connectivity is intermittent and doesn’t allow for transmitting large volumes of data, or require large amounts of time from scientists reviewing footage just looking for key frames.

Menome Technologies has developed the Menome Insight platform to address the challenges associated with collecting, integrating and deriving insight from environmental data.

By using a highly containerized, micros-service multi-agent message based architecture, Menome has created a set of Knowledge Agents designed to atomize data from any source into a set of streams that are continuously refined into an environmental Knowledge Graph of all available data sources.

Mike will provide an overview of the Menome approach using examples derived from projects Menome has worked on.


Mike Morley

Mike developed his first knowledge system in 1986 and has been developing software designed to augment the abilities of people, organizations and industries ever since. Following getting a degree in Geological Engineering, Mike has spent the past 25 focusing on disrupting to Environmental... Read More →

Tuesday April 21, 2020 11:00am - 11:40am EDT
Room 4