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

Ontologies in Enterprise Applications: Dimensional Comparison

Many important categories of applications such as information integration, data analytics, and personal assistance require access to a general store of knowledge. The usefulness of

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CogMap: A Cognitive Support Approach to Property and Instance Alignment

CogMap: A Cognitive Support Approach to Property and Instance Alignment The iterative user interaction approach for data integration proposed by Falconer and Noy can be

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Challenges in the core of ontology support systems

The effective use of ontology languages, such as the W3C Semantic Web Languages OWL and RDFS, requires a complex support system, with developer interface, development

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Ontology Constraints in Incomplete and Complete Data

Ontology and other logical languages are built around the idea that axioms enable the inference of new facts about the available data. In some circumstances,

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Reasoning in RDFS is Inherently Serial, at least in the worst case

Although it appears that reasoning in RDFS is embarrassingly parallel, this is not the case. Because all vocabulary is treated the same way in RDF,

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