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Rosario Uceda-Sosa
IBM
Yorktown Heights, New York
 

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.

She has been a reviewer for Computing Reviews since 2014.


     

 Data science and analytics for SMEs: consulting, tools, practical use cases
Tolulope A., Apress, New York, NY, 2022. 352 pp.  Type: Book (9781484286692)

This book aims to minimize barriers to data collection and analysis for smaller businesses, both those that may not have the resources for a dedicated data science department as well as those that would benefit from the services of a large analyti...

 

Linguistic fundamentals for natural language processing II: 100 Essentials from semantics and pragmatics
Bender E., Lascarides A., Morgan & Claypool, San Rafael, CA, 2020. 256 pp.  Type: Book (978-1-633698-70-3)

The ability of systems to process natural language is one of the most tangible results of the evolution of artificial intelligence (AI) in the last decade. Conversational interfaces--speech or text--are everywhere: in...

 

 Foundations of information security: a straightforward introduction
Andress J., No Starch Press, San Francisco, CA, 2019. 248 pp.  Type: Book (978-1-718500-04-4)

Like the subtitle suggests, this book is a gentle introduction to the subject of information security. It doesn’t assume any special background from the reader other than an understanding of the basic concepts of information ...

 

New perspectives in end-user development
Paternò F., Wulf V., Springer International Publishing, New York, NY, 2017. 459 pp.  Type: Book (978-3-319602-90-5)

The field of end-user development (EUD) has been gaining strength in the past few years as a result of the emergence of a globalized software industry and of the need to build cost-effective software assets. Nowadays, it is impossible ...

 

A theorem about computationalism and "absolute" truth
Charlesworth A. Minds and Machines 26(3): 205-226, 2016.  Type: Article

Is logical inconsistency (or fallibility) an inherent advantage of the human mind over computers? Does computing need to be logical? Minsky, in a quote reproduced in the paper, thought that, “There’s no reason to as...

 
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