DBOWLizer Project

Development of a tool for the automatic design of expressive ontologies from normalized relational databases. This approach extracts and represents information found in the database by examining its composition and automatically generate such mappings using rule-based heuristics.

iLink Room 3.1202D, Computer Science and Chemistry Building 500 West University Avenue, El Paso, TX 79968-0518, US. +1 (915) 747-6413 nvillanuevarosales@utep.edu We aim to improve the efficiency and effectiveness of the discovery, integration, processing and interpretation of scientific data. Our current approaches link human and machine knowledge to address societally-relevant problems in the areas of biomedical informatics, environmental sciences, geosciences and climate change.