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Claudia Schon

dblp:33/4876 · also Claudia Obermaier · DBLP profile ↗
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10ranked-venue papers
2as first author
0since 2021 · last 2020
0000-0003-2455-0974ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7 · 1 first-authorTheory of computation · 5Databases, data management, data science and information retrieval · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Logic in computer science · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
description logic
0.412020
Concept Contraction in the Description Logic EL · KR 2020
Logic in computer science › knowledge representation and reasoning
belief change
0.412020
Concept Contraction in the Description Logic EL · KR 2020
Logic in computer science › algebraic logic
representation theorem
0.412020
Concept Contraction in the Description Logic EL · KR 2020
YearPublicationVenuePosition
2020 Concept Contraction in the Description Logic EL
abstract
In this paper we study the problem of concept contraction for the description logic EL. Concept contraction is concerned with the following question: Given two concepts C and D (with the interesting case being that D subsumes C) how can we find a generalisation of C that is not subsumed by D but is otherwise as similar as possible to C? We take an AGM-style approach and model this problem using the notion of a concept contraction operator. We consider constructive definitions as well as sets of postulates for concept contraction,and link the two by means of representation theorems.
Tjitze Rienstra, Claudia Schon, Steffen Staab
KR2
2019 Names Are Not Just Sound and Smoke: Word Embeddings for Axiom Selection
Ulrich Furbach, Teresa Krämer, Claudia Schon
CADE3
2019 Commonsense Reasoning Using Theorem Proving and Machine Learning
Sophie Siebert, Claudia Schon, Frieder Stolzenburg
CD-MAKE2
2019 Type Checking Program Code Using SHACL
Martin Leinberger, Philipp Seifer, Claudia Schon, Ralf Lämmel, Steffen Staab
ISWC (1)3
2018 Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base
Claudia Schon, Steffen Staab, Patricia Kügler, Philipp Kestel, Benjamin Schleich, Sandro Wartzack
EKAW1
2017 Workshop: Bridging the Gap: Is Logic and Automated Reasoning a Foundation for Human Reasoning?
Ulrich Furbach, Steffen Hölldobler, Marco Ragni, Claudia Schon
CogSci4
2015 Automated Reasoning in the Wild
Ulrich Furbach, Björn Pelzer, Claudia Schon
CADE3
2013 System Description: E-KRHyper 1.4 - Extensions for Unique Names and Description Logic
Markus Bender, Björn Pelzer, Claudia Schon
CADE3
2013 Semantically Guided Evolution of ABoxes
Ulrich Furbach, Claudia Schon
TABLEAUX2
2009 Towards an evolved lower bound for the most circular partition of a square
abstract
We examine the problem of partitioning a square into convex polygons which are as circular as possible. Circular means that the polygon's aspect ratio is supposed to be near 1. The aspect ration of a convex polygon denotes the ratio of the diameters of the smallest circumscribing circle to the largest inscribed disk. This problem has been solved for the equilateral triangle as well as for regular k-gon with k > 4. In the case of a square, the optimal solution is still an open problem. We are planning to find a solution which is ldquogood enoughrdquo with the help of evolutionary algorithms.
Claudia Schon, Markus Wagner 0007
IEEE Congress on Evolutionary Computation1