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<p><span style="color:#232323">Hi all,<o:p></o:p></span></p>
<p><span style="color:#232323">Feifei Pan (Rensselaer Polytechnic Institute), Jia Zhang (Carnegie Mellon University Silicon Valley), and myself are hosting an AGU session that may be of interest to you. Consider submitting an abstract related to your ESIP
or personal research. And please help us spread this announcement.<o:p></o:p></span></p>
<p><span style="color:#232323">Thanks,<o:p></o:p></span></p>
<p><span style="color:#232323">Tom Narock<o:p></o:p></span></p>
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<p><span style="color:#232323"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;color:black">Session ID:</span></b><span style="font-size:11.0pt;color:black;background:white"> 105585</span><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p><b><span style="color:#232323">Session Title:</span></b><span style="color:#232323"> Knowledge and Knowledge Graph Induction in Geoscience
</span><o:p></o:p></p>
<p><b><span style="color:#232323">Session Description: </span></b><span style="color:#232323">Data science and machine learning research in Geosciences has traditionally focused on numeric data. Unstructured data, i.e., text-based data, has received limited
attention. There is a pressing need for efforts that leverage comprehensive Geoscience corpora, build models that generate new knowledge, and present knowledge in proper data structures that enhance understanding and reliability - such as knowledge bases (KB),
knowledge graphs (KG), and ontologies. This session welcomes research in ontology and KG construction, knowledge induction, and the application of natural language processing and text-based Geoscience data tasks related to KBs and KGs.
</span><b><o:p></o:p></b></p>
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