1 research outputs found
Ontology-Grounded Topic Modeling for Climate Science Research
In scientific disciplines where research findings have a strong impact on
society, reducing the amount of time it takes to understand, synthesize and
exploit the research is invaluable. Topic modeling is an effective technique
for summarizing a collection of documents to find the main themes among them
and to classify other documents that have a similar mixture of co-occurring
words. We show how grounding a topic model with an ontology, extracted from a
glossary of important domain phrases, improves the topics generated and makes
them easier to understand. We apply and evaluate this method to the climate
science domain. The result improves the topics generated and supports faster
research understanding, discovery of social networks among researchers, and
automatic ontology generation.Comment: To appear in Proc. of Semantic Web for Social Good Workshop of the
Int. Semantic Web Conf., Oct 2018 and published as part of the book "Emerging
Topics in Semantic Technologies. ISWC 2018 Satellite Events", E. Demidova,
A.J. Zaveri, E. Simperl (Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag
Berlin, (edited authors