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 Natural Language Understanding Lab. His research interest is in the area of Natural Language & 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

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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Finite Models in RDF(S), with datatypes

The details of reasoning in RDF are generally well known. The model-theoretic characteristics of RDF have been less studied, particularly when datatypes are added. RDF

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RDF 1.1 Semantics

This document describes a precise semantics for the Resource Description Framework 1.1  and RDF Schema. It defines a number of distinct entailment regimes and corresponding

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