PI: Dejing Dou
We propose to advance biomedical natural language processing by combining ontology-based reasoning, semantic search, and embedding-driven methods to improve information extraction, representation, and consistency detection in biomedical texts.
PI: Nisansa de Silva
The Knowledge Representation project investigates methods for structuring, aligning, and reasoning over knowledge extracted from language, with particular emphasis on low-resource settings, domain-specific semantics, and intelligent information access.
Theses: BSc
Vindula Jayawardana, Keet Sugathadasa, Dimuthu Lakmal, and Buddhi Rathnayake, "Ontology-Based Legal Information Extraction", University of Moratuwa, 2018
Journal Papers
Jingshan Huang, Fernando Gutierrez, Harrison J Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A Blake, Karen Eilbeck, Darren A Natale, Yu Lin, Bin Wu, Nisansa de Silva, and others, "OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data", Journal of biomedical semantics, vol. 7, no. 1, pp. 25, 2016. doi: 10.1186/s13326-016-0064-2
Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A Blake, Dejing Dou, Weili Huang, Darren A Natale, Alan Ruttenberg, Jun Huan, Michael T Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, and others, "The development of non-coding RNA ontology", International journal of data mining and bioinformatics, vol. 15, no. 3, pp. 214--232, 2016. doi: 10.1504/IJDMB.2016.077072
