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

EXISTStential aspects of SPARQL (poster)

The SPARQL 1.1 Query Language permits patterns inside FILTER expressions using the EXISTS construct, specified by using substitution. Substitution destroys some of the aspects of

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EXISTStential aspects of SPARQL

The SPARQL 1.1 Query Language permits patterns inside FILTER expressions using the EXISTS construct, specified by using substitution. Substitution destroys some of the aspects of

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Diverging views of SHACL

SHACL is a new recommendation being developed by the W3C Data Shapes Working Group. SHACL is designed to address the need for a declarative language

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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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