Suemi Higuchi
About Suemi Higuchi
Suemi Higuchi is a researcher with expertise in Knowledge Representation and Conceptual Modeling, currently working at Fundação Getulio Vargas in Rio de Janeiro, Brazil. She holds a Bachelor's degree in History, a Master's degree in Information Science, a Master's degree in Business Administration, and a PhD in Computational Linguistics.
Work at FGV - Fundação Getulio Vargas
Suemi Higuchi has been a researcher at Fundação Getulio Vargas since 2001. Her role involves conducting research in various areas, particularly focusing on Knowledge Representation and Conceptual Modeling. The research conducted at FGV contributes to the understanding and application of artificial intelligence in representing complex information systems.
Education and Expertise
Suemi Higuchi holds a Bachelor's degree in History from Universidade Federal Fluminense, completed from 1998 to 2002. She furthered her education by obtaining a Master's degree in Information Science/Studies from the same institution between 2010 and 2012. Additionally, she earned a Master of Business Administration (M.B.A.) in Information Technology from Fundação Getulio Vargas, completed from 2003 to 2005. Suemi completed her PhD in Linguistics, specifically in Computational Linguistics, at Pontifícia Universidade Católica do Rio de Janeiro from 2016 to 2021.
Research Focus and Areas
Suemi Higuchi's research focus includes Knowledge Representation and Conceptual Modeling. Knowledge Representation involves using artificial intelligence to represent information in a computable format, while Conceptual Modeling abstracts and structures knowledge within a specific domain. Her work also encompasses Digital Humanities, which integrates computing with traditional humanities disciplines.
Background
Suemi Higuchi has a diverse academic background that spans multiple disciplines. She began her studies in History, which provided a foundation for her later pursuits in Information Science and Linguistics. Her educational journey reflects a commitment to understanding the intersection of technology and human knowledge, culminating in her expertise in Computational Linguistics.