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https://dx.doi.org/10.48550/ar...
Article . 2022
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An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols

Authors: Marco Alberti; Riccardo Zese; Fabrizio Riguzzi; Evelina Lamma;

An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols

Abstract

Hybrid Knowledge Bases based on Lifschitz's logic of Minimal Knowledge with Negation as Failure are a successful approach to combine the expressivity of Description Logics and Logic Programming in a single language. Their syntax, defined by Motik and Rosati, disallows function symbols. In order to define a well-founded semantics for MKNF HKBs, Knorr et al. define a partition of the modal atoms occurring in it, called the alternating fixpoint partition. In this paper, we propose an iterated fixpoint semantics for HKBs with function symbols. We prove that our semantics extends Knorr et al.'s, in that, for a function-free HKBs, it coincides with its alternating fixpoint partition. The proposed semantics lends itself well to a probabilistic extension with a distribution semantic approach, which is the subject of future work.

In Proceedings ICLP 2022, arXiv:2208.02685

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Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, I.2.4, Artificial intelligence, Logic programming, Fixpoint semantics; MKNF, Hybrid Knowledge Bases, Logic in Computer Science (cs.LO)

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selected citations
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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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