Martha L Escobar-Molano
Martha's professional experience in research and development spans decades of work in both academia and industry. After earning her PhD, she worked on research in databases, multimedia systems, machine learning and natural language processing. Her research work has been published in peer-reviewed journals and academic conference proceedings. Her development experience spans multiple industries, including: high performance parallel systems, cybersecurity, fintech, and healthcare.
Sessions
Extracting the highly valuable data from unstructured text often results in hard-to-read, brittle, difficult-to-maintain code. The problem is that using regular expressions directly embedded in the program control flow does not provide the best level of abstraction. We propose a query language (based on the tuple relational calculus) that facilitates data extraction. Developers can explicitly express their intent declaratively, making their code much easier to write, read, and maintain.