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- Ph.D., Philosophy, State University of New York at Buffalo
- M.A., Philosophy, State University of New York at Buffalo
- B.A., Philosophy, Summa Cum Laude, University of Colorado at Denver
While humans are good at recognizing meaning in context, computers need help. Amanda Hicks, Ph.D., develops and evaluates the resources that computers utilize to understand the relationships among words, concepts and categories. In this capacity she serves as a kind of translator between humans and machines. These models, called “semantic networks”, can support machine reasoning with language, data and text. Dr. Hicks is particularly interested in bridging the gap between two approaches to producing semantic networks. The first approach focuses on capturing the way we use language in our everyday lives. This is the approach taken by WordNet, a digital lexicon which is used in Siri, IBM’s Watson and other AI platforms to process language. The second approach focuses on providing computers with schemas that support sound, logical inferences about the things in the world, but with less emphasis on the words we use to describe those things. This is the approach taken by the discipline of ontology. Ontologies are formal, logical representations of things in the world that computers use to make inferences. She developed the KYOTO Ontology, which has been mapped to eight languages, to help bridge these two approaches.
She is the curator and manager of the Ontology for Medically Related Social Entities (OMRSE), which represents socially constructed entities that are important for health care. Examples of these entities include the role of a doctor as distinct from a nurse; organizations such as insurance companies and health care providers; contracts; and demographic information, including race, ethnicity, and gender. She is currently developing culturally competent ways of capturing and representing gender identities that go beyond the male/female binary to help reduce health disparities among gender minorities and increase visibility and understanding of gender minorities in the health care and research settings.
She is also interested in developing tools and methods for evaluating the performance of ontologies in health informatics. She has co-authored works that leverage Twitter and Google for the development and evaluation of these systematic categories, such as examining regional variation in gender identities across the U.S. with the aim of informing health care intake forms for non-gender-binary individuals.
Dr. Hicks has co-taught international workshops in applied ontology and is actively involved in developing educational resources and opportunities in applied ontology.
- Biomedical Informatics
- Applied ontology
- Ontologically representing socially constructed entities
- Gender identity terms as related to LGBT health and medical terminologies
- Applied logic
- HOP Researcher Helps NICHD Develop Terminology for Pediatric Adverse Events
- HOP Faculty Receives UF CTSI Pilot Award to Develop Hypertension FACTS
- HOP Faculty Member Presents Paper at AMIA Conference
- HOP Faculty Has Two Papers Accepted to the Global Wordnet Conference
Hicks A., Hogan W.R., Hanna J., Welch D., Brochhausen M. (2016) The Ontology of Medically Related Social Entities: Recent Developments. The Journal of Biomedical Semantics. 7:47. PMID: 27406187
Bian J., Yoshigoe, K., Hicks, A., Yuan, J., He, Z., Xie, M., Guo, Y., Prosperi, M., Salluom, R., Modave, F. (2016) Mining Twitter to assess the public perception of the ‘Internet of things’. PLOS One, 11(7):e0158450. PMID: 27391760
Hicks A, Rutherford M, Fellbaum C, Bian J. (2016) An Analysis of WordNet’s Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey.in Proceedings of the 8th Global WordNet Conference, Bucharest, Romania, January 2016.
Seppälä S, Hicks A, Ruttenberg A. (2016) Semi-Automatic Mapping of WordNet to Basic Formal Ontology. Proceedings of the 8th Global WordNet Conference, Bucharest, Romania, January 2016.
Hicks A, Hogan WR, Rutherford M, Malin B, Xie M, Fellbaum C, Yin Z, Fabbri D, Hanna J, Bian J. (2016) Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. Proceedings of The American Medical Informatics Association 2015 Annual Symposium, San Francisco, CA, November 2015. PMID: 26958196 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765681/
Seppälä S., Hicks, A. (2016) Enhancing terminological knowledge with upper level ontologies” T. Poibeau and P. Faber, editors, Proceedings of the 11th International Conference on Terminology and Artificial Intelligence (TIA 2015), volume Vol-1495, Granada, Spain, November 2015. PMID: 27011763
Hicks A., Herold A., (2011) Cross-Lingual Evaluation of Ontologies with Rudify. Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K, Revised Selected Papers. ed. A. Fred, et al., pp. 151-163, Springer-Verlag. http://link.springer.com/chapter/10.1007/978-3-642-19032-2_11#page-1
Vossen P., E. Agirre, F. Bond, W. Bosma, C. Fellbaum, A. Hicks, S. Hsieh, H. Isahara, C. Huang, K. Kanzaki, A. Marchetti, G. Rigau, F. Ronzano, R. Segers, M. Tesconi. (201) KYOTO: A wiki for establishing semantic interoperability for knowledge sharing across languages and cultures, Handbook of Research on Culturally-Aware Information Technology Perspectives and Models. ed. E. Blanchard, et al., pp. 265-294, IGI Global. http://www.vossen.info/docs/2008/KYOTO_LREC2008%5B6%5D.pdf