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SubmittedOpen Access (License Unspecified), Open
Journal article
Unleashing the Power of Knowledge Extraction from Scientific Literature in Catalysis
JOURNAL OF CHEMICAL INFORMATION AND MODELING, v 62(14), p3316
25 Jul 2022
PMID: 35772028
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Valuable knowledge of catalysis is often hidden in a large amount of scientific literature. There is an urgent need to extract useful knowledge to facilitate scientific discovery. This work takes the first step toward the goal in the field of catalysis. Specifically, we construct the first information extraction benchmark data set that covers the field of catalysis and also develop a general extraction framework that can accurately extract catalysis-related entities from scientific literature with 90% extraction accuracy. We further demonstrate the feasibility of leveraging the extracted knowledge to help users better access relevant information in catalysis through an entity-aware search engine and a correlation analysis system.
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Details
- Title
- Unleashing the Power of Knowledge Extraction from Scientific Literature in Catalysis
- Publication Details
- JOURNAL OF CHEMICAL INFORMATION AND MODELING, v 62(14), p3316
- Publisher
- AMER CHEMICAL SOC; WASHINGTON
- Grant note
- This work was supported as part of the Center for Plastics Innovation, an Energy Frontier Research Center, funded by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under award number DE-SC0021166.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000823611000001
- Scopus ID
- 2-s2.0-85134851236
- Other Identifier
- 991021861296304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Medicinal
- Chemistry, Multidisciplinary
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications