Peter Patel-Schneider

Peter Patel-Schneider
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Main area of research
Natural language & AI

Peter Patel-Schneider is a Researcher in the Nuance Artificial Intelligence and Language (NAIL) Lab. His research interest is in the area of Knowledge Representation & AI. Currently, Peter is working on ontologies and reasoning support for conversational systems. In general, he is interested in making description logics useful in applications, as well as the theory of description logics. Patel-Schneider has made significant contributions to the fields of Web Ontology Languages, DLP (an experimental description logic system designed to allow various optimizations for description logic reasoning to be easily investigated that he developed) and the Classic group, which he lead.

Selected articles

A speech-driven second screen application for TV program discovery

In this paper, we present a speech-driven second screen application for TV program discovery. We give an overview of the application and its architecture. We

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Knowledge representation and reasoning on the semantic web: OWL

OWL is the ontology language recommended by the W3C. OWL is heavily based on the knowledge representation languages called Description Logic, which provide the basic

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“Reducing” CLASSIC to practice: Knowledge representation theory meets reality

Most recent key developments in research on knowledge representation (KR) have been of the more theoretical sort, involving worst-case complexity results, solutions to technical challenge

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A comparison of two modelling paradigms in the semantic web

Classical logics and Datalog-related logics have both been proposed as underlying formalisms for conceptual modelling in the context of the Semantic Web. Although these two

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OWL rules: A proposal and prototype implementation

Although the OWL Web Ontology Language adds considerable expressive power to the Semantic Web it does have expressive limitations, particularly with respect to what can

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