Nuance’s Peter Patel-Schneider receives prestigious SWSA Ten-Year Award

Nuance’s Peter Patel-Schneider was recently honored for his commitment to the rapid development of voice recognition and natural language processing by the Semantic Web Science Association (SWSA). Peter and co-author Ian Horrocks’ impactful research paper, “Reducing OWL Entailment to Description Logic Satisfiability” received the SWSA Ten-Year Award for being the most lasting and influential research document of its focus area over the last ten years.

As a principal scientist for Nuance’s research and development efforts in voice recognition and natural language processing, Peter Patel-Schneider plays an important role in creating intelligent and proactive systems that allow people to have more humanlike interactions with some of the most commonly used and heavily relied upon technology and devices, from consumer electronics to healthcare solutions.

Peter’s proven expertise and innovative thinking in the areas of description logics and ontology languages were recently acknowledged, as he received the 2013 Semantic Web Science Association (SWSA) Ten-Year Award for the paper he co-authored in 2003 with Ian Horrocks of the University of Oxford, titled, “Reducing OWL Entailment to Description Logic Satisfiability.”

Each year the SWSA Ten-Year Award recognizes the highest impact paper from the International Semantic Web Conference (ISWC) ten years prior, meaning Peter is being honored for the paper he co-authored with Ian in 2003. The award serves as a prestigious honor to the paper that has emerged as the most meaningful and impactful in its focus area for a 10-year period, which speaks to the importance it has acquired after it was initially published.

Peter has been involved in artificial intelligence research for over 30 years. He earned his Ph.D. from the University of Toronto in 1987, and worked in Bell Labs Research for over two decades.   Peter has made central contributions to a number of description logics and ontology languages and systems, including the Classic family of knowledge representation systems, the DLP description logic reasoner, the W3C Resource Description Framework (RDF), and the W3C OWL Web Ontology Language. His award-winning paper showed the formal correspondence between OWL and description logics, leading the way to formally correct reasoning systems for OWL.

Please join us in congratulating Peter on this most worthy achievement.


About Ron Kaplan

Working out of Nuance’s R&D-focused office in Sunnyvale, California, Ron Kaplan oversees Nuance’s natural language and artificial intelligence laboratory as Senior Director, R&D. For over three decades, Ron has been held in high esteem among colleagues for his research and expertise in the areas of linguistics and natural language understanding. Ron earned his B.A. in mathematics and language behavior from the University of California, Berkeley and his Ph.D. in social psychology and psycholinguistics from Harvard University. For nearly 25 years, Ron has served as a consulting professor of linguistics for Stanford University. Prior to joining Nuance, Ron led natural language research at the Xerox Palo Alto Research Center (PARC) for over 25 years, and held research and science positions at other prominent companies, including Microsoft Corporation and Powerset, Inc. Ron is a Fellow of the Association for Computational Linguistics, and was recently awarded an honorary doctorate from the University of Copenhagen.