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2016 | OriginalPaper | Chapter

Approximate Unification in the Description Logic \(\mathcal {FL}_0\)

Authors : Franz Baader, Pavlos Marantidis, Alexander Okhotin

Published in: Logics in Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

Unification in description logics (DLs) has been introduced as a novel inference service that can be used to detect redundancies in ontologies, by finding different concepts that may potentially stand for the same intuitive notion. It was first investigated in detail for the DL \(\mathcal {FL}_0\), where unification can be reduced to solving certain language equations. In order to increase the recall of this method for finding redundancies, we introduce and investigate the notion of approximate unification, which basically finds pairs of concepts that “almost” unify. The meaning of “almost” is formalized using distance measures between concepts. We show that approximate unification in \(\mathcal {FL}_0\) can be reduced to approximately solving language equations, and devise algorithms for solving the latter problem for two particular distance measures.

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Footnotes
1
In the first line below we assume, as usual, that \(\min \emptyset = \infty \) and \(2^{-\infty } = 0\).
 
2
An ILTA \((\varSigma , Q, Q_0, \delta )\) is trim if every state is reachable from an initial state and \(\delta (q,a) \ne \emptyset \) for all \(q\in Q, a\in \varSigma \).
 
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Metadata
Title
Approximate Unification in the Description Logic
Authors
Franz Baader
Pavlos Marantidis
Alexander Okhotin
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-48758-8_4

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