Deborah is also widely known for her leading role in the development of the W3C Recommended Web Ontology Language (OWL), her work on earlier description logic languages and environments, including the CLASSIC knowledge representation system, and more recently, her work on provenance languages and environments, including InferenceWeb, PML, and PROV. She has built and deployed numerous ontology environments and ontology-enhanced applications, including some that have been in continuous use for over a decade at AT&T and Lucent, and two that have won deployment awards for variation reduction on plant floors and interdisciplinary virtual observatories. Recent application thrusts include health informatics and smart environmental monitoring. Some current and recent projects can be explored at http://tw.rpi.edu/web/person/Deborah_L_McGuinness/Projects . She has published over 300 peer-reviewed papers and has authored granted patents in knowledge based systems, ontology environments, configuration, and search technology.
Deborah also consults with clients wishing to plan, develop, deploy, and maintain semantic web and/or AI applications. Some areas of recent work include: data science, next generation health advisors, ontology design and evolution environments, semantically-enabled virtual observatories, semantic integration of scientific data, context-aware mobile applications, search, eCommerce, configuration, and supply chain management. She is a frequent technology advisory board member, currently or recently with Qualcomm, OrbMedia, SocialWire, and Sandpiper Software. She also advised Applied Semantics, Guru Worldwide, and Cerebra prior to their acquisitions. Deborah has also worked as an expert witness in a number of cases, and has deposition and trial experience. Deborah received her Bachelors degree in Math and Computer Science from Duke University, her Masters degree in Computer Science from University of California at Berkeley, and her Ph.D. in Computer Science from Rutgers University.