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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/117995...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
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Logic Programming in Knowledge Domains

Authors: Andrei Mantsivoda; Vladimir Lipovchenko; Anton Malykh;

Logic Programming in Knowledge Domains

Abstract

We propose an approach to combining logic programming and knowledge representation paradigms. This approach is based on the conception of description terms. LP and KR are integrated in such a way that their underlying logics are carefully separated. A core idea here is to push the KR techniques on the functional level. On the LP level the knowledge base is considered as a constraint store, in which special propagation methods are ruling. A constraint logic programming language based on this idea is outlined.

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
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