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Rosario Uceda-Sosa
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.


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 assume ... that either...


 Computational thinking
Grady Booch. YouTube, 01:04:09, published on Mar 16, 2016, Association for Computing Machinery (ACM), Type: Video

This one-hour lecture by Grady Booch is a walk through history seen as an evolution toward computational thinking, which will culminate in a symbiotic relationship between people and computers/machines....


Java XML and JSON
Friesen J.,  Apress, New York, NY, 2016. 257 pp. Type: Book (978-1-484219-15-7)

Java XML and JSON can be used as both a self-study guide and a reference for Extensible Markup Language (XML) and JSON documents and their processing in Java. The book is ideal for Java programmers needing to develop applications that read, write,...


Post, mine, repeat: social media data mining becomes ordinary
Kennedy H.,  Palgrave Macmillan, London, UK, 2016. 262 pp. Type: Book (978-1-137353-97-9)

The central question of the book is, in the words of the author: “Can social media (and other) data mining ever be considered acceptable or be used in ways that we consider acceptable?”...


Automate the boring stuff with Python: practical programming for total beginners
Sweigart A.,  No Starch Press, San Francisco, CA, 2015. 504 pp. Type: Book (978-1-593275-99-0)

For those who are already versed in programming and scripting languages, including Python, this book can serve as a quick reference because the content is well indexed and the code snippets are clearly highlighted. It’s a good book to unders...


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