3.4 The Construction of an Earth Science Knowledge Network

Monday, 8 January 2018: 2:45 PM
Room 7 (ACC) (Austin, Texas)
Tsengdar Lee, NASA, Washington, DC; and J. Zhang and R. Ramachandran

IBM Watson won the Jeopardy in 2011. Google AlphaGo won the Go game in March 2016. The convergence of computing resources and maturing big data technologies has ushered in an era now called Artificial Intelligence 2.0 (AI2.0). We are beginning to see powerful applications build on top of the knowledge extracted from patabytes of data. Tapping into this vast amount of knowledge, Siri, Cortana, and Alexa are able to answer simple questions by associate indexed items together. We are thinking of much more intelligent applications that may associate “a train of thoughts” or scientific workflows with data, researchgers, and research results. These involve much deeper understanding of the literature, natural language, and context aware algorithms.

In this talk, we will report recent efforts to build a NASA Earth science Enterprise Knowledge Network. The end goal would be to provide a one-stop gateway able to proactively recommend personalized dataset, tools and algorithms, as well as summarizing research results. In this talk, we will provide an update on our progress including the necessary technologies that are incorporated into the current project. We will also discuss the roadblocks and potential solutions. We will seek future collaborations of the project including the possibility to build a community based knowledge network.

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