Mining the semantic web statistical learning for next generation knowledge bases
type: Item
instance of: scholarly article
title: Mining the semantic web statistical learning for next generation knowledge bases
zbMATH Open document ID: 1235.68228
author: Achim Rettinger
author: Uta Lösch
author: Volker Tresp
author: Claudia D'amato
author: Nicola Fanizzi
published in: Data Mining and Knowledge Discovery
publication date: 2012-04-11T00:00:00Z
Mathematics Subject Classification ID: 68T30
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6022963
zbMATH Keywords: semantic web
zbMATH Keywords: ontology
zbMATH Keywords: knowledge representation
zbMATH Keywords: description logics
zbMATH Keywords: RDF
zbMATH Keywords: linked data
zbMATH Keywords: semantic similarity
zbMATH Keywords: kernels
zbMATH Keywords: multivariate prediction
zbMATH Keywords: first-order probabilistic learning
zbMATH Keywords: relational graphical models
describes a project that uses: swrl
describes a project that uses: DL-learner
describes a project that uses: ElemStatLearn
describes a project that uses: BayesOWL
MaRDI profile type: Publication
full work available at URL: s10618-012-0253-2
OpenAlex ID: W200741916
Wikidata QID: Q57240249
cites work: Q4406531
cites work: 10.1162/jmlr.2003.3.4-5.993
cites work: Q5715718
cites work: Uncertainty reasoning for the semantic web I. ISWC international workshops, URSW 2005--2007. Revised selected and invited papers
cites work: Probabilistic inductive logic programming. Theory and applications
cites work: Ontology Matching
cites work: DL-FOIL Concept Learning in Description Logics
cites work: Learning with Kernels in Description Logics
cites work: Learning Theory and Kernel Machines
cites work: Kernels and distances for structured data
cites work: Q3510469
cites work: Q4708909
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Learning Bayesian networks: The combination of knowledge and statistical data
cites work: Q4936134
cites work: Q4796150
cites work: DL-learner: learning concepts in description logics
cites work: A Refinement Operator Based Learning Algorithm for the $\mathcal{ALC}$ Description Logic
cites work: Probabilistic description logic programs
cites work: Q3093346
cites work: The independent choice logic for modelling multiple agents under uncertainty
cites work: Q4260445
cites work: Markov logic networks
cites work: An introduction to support vector machines and other kernel-based learning methods.
cites work: Q4739556
cites work: Switching and Learning in Feedback Systems
DBLP publication ID: journals/datamine/RettingerLTdF12
DOI: 10.1007/S10618-012-0253-2
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description: scientific article; zbMATH DE number 6022963