[Faculty] Fwd: [CSRC.COLLOQUIUM] "Developing Large-Scale Knowledge Maps Using Natural Language Processing"

[Jose Castillo]

[image: SDSU_CSRC Logo.jpg]


DATE:
*Friday, July 15, 2022*


TITLE:
*Developing Large-Scale Knowledge Maps Using Natural Language Processing*




TIME:
*3:30-4:30PM*



LOCATION:
Join Zoom Meeting -   https://SDSU.zoom.us/j/84285816438
<https://sdsu.zoom.us/j/84285816438>


SPEAKER/BIO:
*Jamey O'Neill, PhD Candidate, Bioengineering *



ABSTRACT:
Knowledge maps provide a connected network of key ideas, topics, techniques
and applications within a given field of interest. These maps can be
extremely valuable in identifying ideas with high impact, topics with high
growth potentials, and techniques and applications that can increase
knowledge sharing and collaboration across topics and fields. Existing
knowledge maps rely on predefined knowledge terms, or identify knowledge
terms from a small corpus of manuscripts and text excerpts. Here we will
discuss the development of largescale knowledge maps that learn from
datasets containing >1M abstracts and extract knowledge terms and
connections using a variety of NLP and unsupervised learning tools. The
knowledge maps thus developed can be used to map local vs global areas of
research interest and potential transdisciplinary collaboration areas with
the potential to transform the respective fields of science and technology.


Host:
*SDSU SIAM Student Chapter*

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.



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