TY - GEN
T1 - A boxology of design patterns for hybrid learning and reasoning systems
AU - van Harmelen, Frank
AU - Ten Teije, Annette
N1 - Full version in: Journal of Web Engineering, vol: 18, combined Issue: 1, 2 & 3 (art.3 p. 97-124), published in: January 2019.
PY - 2019/11/8
Y1 - 2019/11/8
N2 - We propose a set of design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation. As in other areas of computer science (knowledge engineering, software engineering, process mining), such design patterns help to systematize the literature, clarify which combinations of techniques serve which purposes, and encourage re-use of software components. We have validated our compositional design patterns against a large body of recent literature.
AB - We propose a set of design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation. As in other areas of computer science (knowledge engineering, software engineering, process mining), such design patterns help to systematize the literature, clarify which combinations of techniques serve which purposes, and encourage re-use of software components. We have validated our compositional design patterns against a large body of recent literature.
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M3 - Conference contribution
AN - SCOPUS:85075060817
T3 - CEUR Workshop Proceedings
SP - 1
EP - 2
BT - BNAIC/BENELEARN 2019 Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg
A2 - Beuls, Katrien
A2 - Bogaerts, Bart
A2 - Bontempi, Gianluca
A2 - Geurts, Pierre
A2 - Harley, Nick
A2 - Lebichot, Bertrand
A2 - Lenaerts, Tom
A2 - Louppe, Gilles
A2 - Van Eecke, Paul
PB - CEUR-WS
T2 - 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, BNAIC/BENELEARN 2019
Y2 - 6 November 2019 through 8 November 2019
ER -