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DLOG
2000
13 years 11 months ago
Optimizing TBox and ABox Reasoning with Pseudo Models
This paper investigates optimization techniques and data structures exploiting the use of so-called pseudo models. These techniques are applied to speed-up TBox and ABox reasoning...
Volker Haarslev, Ralf Möller
DLOG
2000
13 years 11 months ago
High Performance Reasoning with Very Large Knowledge Bases
In this contribution we present an empirical analysis of the performance of the ALCNHR+ description logic system RACE applied to TBoxes with a very large number of primitive conce...
Volker Haarslev, Ralf Möller
DLOG
2000
13 years 11 months ago
Driving User Interfaces from FaCT
We describe a mechanism that can be used to drive interfaces from a description logic (DL) model of the domain. A simple layer with limited expressivity sits on top of the DL, wit...
Sean Bechhofer, Ian Horrocks
DLOG
2000
13 years 11 months ago
Knowledge Representation on the Web
Recently, there has been a wide interest in using ontologies on the Web. As a basis for this, RDF Schema (RDFS) provides means to define vocabulary, structure and constraints for ...
Stefan Decker, Dieter Fensel, Frank van Harmelen, ...
DLOG
2000
13 years 11 months ago
Fusions of Description Logics
Franz Baader, Carsten Lutz, Holger Sturm, Frank Wo...
DLOG
2000
13 years 11 months ago
Keys for Free in Description Logics
Diego Calvanese, Giuseppe De Giacomo, Maurizio Len...
DLOG
1998
13 years 11 months ago
DLP System Description
DLP (Description Logic Prover) is an experimental description logic knowledge representation system. DLP currently implements a superset of propositional dynamic logic as well as ...
Peter F. Patel-Schneider
DLOG
1998
13 years 11 months ago
Combining Expression and Content in Domains for Dialog Managers
We present work in progress on abstracting dialog managers from their domain in order to implement a dialog manager development tool which takes (among other data) a domain descri...
Bernd Ludwig, Günther Görz, Heinrich Nie...
DLOG
1998
13 years 11 months ago
Learning Composite Concepts
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...
Patrick Lambrix, Pierpaolo Larocchia