Ontology-Grounded Topic Modeling for Climate Science Research

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dc.contributor.authorSleeman, Jennifer
dc.contributor.authorFinin, Tim
dc.contributor.authorHalem, Milton
dc.date.accessioned2018-10-18T13:47:54Z
dc.date.available2018-10-18T13:47:54Z
dc.date.issued2018-10-08
dc.descriptionEmerging Topics in Semantic Technologies. ISWC 2018 Satellite Eventsen_US
dc.description.abstractIn 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.en_US
dc.description.sponsorshipThis work was partially supported by a grant of computational resource services from the Microsoft AI for Earth program and a gift from the IBM AI Horizons Network.en_US
dc.description.urihttps://arxiv.org/abs/1807.10965en_US
dc.description.urihttps://drive.google.com/file/d/15xRhtX59tblcrCYxcPB3QJ6_L_lbnRU3/view
dc.format.extent12 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2V698G6C
dc.identifier.citationJennifer Sleeman, Tim Finin, Milton Halem, Ontology-Grounded Topic Modeling for Climate Science Research, Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events, https://ebiquity.umbc.edu/paper/html/id/831/Ontology-Grounded-Topic-Modeling-for-Climate-Science-Researchen_US
dc.identifier.urihttp://hdl.handle.net/11603/11599
dc.language.isoen_USen_US
dc.publisherAKA Verlag, Berlinen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjecttopic modelingen_US
dc.subjectontologyen_US
dc.subjectclimate scienceen_US
dc.subjectexplainabilityen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleOntology-Grounded Topic Modeling for Climate Science Researchen_US
dc.typeTexten_US

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