Rosario Uceda-Sosa is one of the leading researchers in semantic information models in the IBM T.J. Watson Research Lab. She has worked in ontologies for domains such as smart cities, financial services, IT services and assets, insurance, healthcare, computer vision, conversational systems, and tourism, among others.
Her work focuses on the usability of ontologies as the next generation of data source schemas. In particular, she’s interested in how to produce composable, large ontologies that can be aligned with relevant standards and can be queried using simple, tag-like query strings. She has worked on inference engines, query languages, and ontology management systems, as well as produced ontology models currently used in banking and smart cities industrial applications.
She has also led and managed teams working on information systems, business rules, semantics models, and software engineering. In 2008, Uceda-Sosa led the Global Technology Outlook, a worldwide IBM strategy process that helps drive IBM's $6 billion investment in R&D. Her industrial experience includes working as a consultant in software design and usability, modeling, and web technologies for companies like Ford, Chrysler, GM, and Kellogg.
She holds a PhD in Computer Science and Engineering, an MS in Mathematics, and an MS in Computer Engineering from the University of Michigan.
Uceda-Sosa has authored 24 US and global patents and was named senior member of the ACM. Her work has been published in conferences like AAAI, IJCAI, and ER on the subjects of information systems, ontologies, modeling, and usability. She delivered keynote speeches at AAAI-2014 Semantic Cities, and was the Industry Day Chair for IJCAI-16. In addition, she has participated in program committees for such conferences as AAAI, IJCAI, and ACM Multimedia.