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Default Reasoning in a Terminological Logic

Default reasoning in a terminological logic
Authors: Sebastiani F; Straccia U;

Default Reasoning in a Terminological Logic

Abstract

Summary: Terminological logics (TLs) are knowledge representation formalisms of considerable applicative interest, as they are specifically oriented to the vast class of application domains that are describable by means of taxonomic organizations of complex objects. Although the field of TLs has lately been an active area of investigation, only few researchers have addressed the problem of extending these logics with the ability to perform default reasoning. Such extensions would prove of paramount applicative value, as many application domains may be formalized by means of monotonic. TLs only at the price of oversimplification. In this paper we show how we can effectively integrate terminological reasoning and default reasoning, yielding a terminological default logic. The kind of default reasoning we embed in our TL is reminiscent of Reiter's default logic, but overcomes some of its drawbacks by subscribing to the ``implicit'' handling of exceptions typical of the multiple inheritance networks with exceptions proposed by Touretzky and others.

Keywords

Logic in artificial intelligence, terminological logics, terminological default logic, Knowledge representation, Terminological logic, default reasoning, Natural Language Processing

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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