001463634 000__ 04437cam\a22006497i\4500
001463634 001__ 1463634
001463634 003__ OCoLC
001463634 005__ 20230601003330.0
001463634 006__ m\\\\\o\\d\\\\\\\\
001463634 007__ cr\un\nnnunnun
001463634 008__ 230502s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001463634 019__ $$a1377989467
001463634 020__ $$a9783031314148$$q(electronic bk.)
001463634 020__ $$a303131414X$$q(electronic bk.)
001463634 020__ $$z9783031314131
001463634 020__ $$z3031314131
001463634 0247_ $$a10.1007/978-3-031-31414-8$$2doi
001463634 035__ $$aSP(OCoLC)1378065137
001463634 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001463634 049__ $$aISEA
001463634 050_4 $$aQ334$$b.S86 2022eb
001463634 08204 $$a006.3$$223/eng/20230502
001463634 1112_ $$aSummer School on Reasoning Web$$n(18th :$$d2022 :$$cOnline)
001463634 24510 $$aReasoning web :$$bcausality, explanations and declarative knowledge : 18th International Summer School 2022, Berlin, Germany, September 27-30, 2022, Tutorial lectures /$$cLeopoldo Bertossi, Guohui Xiao, editors.
001463634 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001463634 300__ $$a1 online resource (ix, 211 pages) :$$billustrations (some color).
001463634 336__ $$atext$$btxt$$2rdacontent
001463634 337__ $$acomputer$$bc$$2rdamedia
001463634 338__ $$aonline resource$$bcr$$2rdacarrier
001463634 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13759
001463634 500__ $$a"It was held online due to anticipated mobility restrictions caused by the Covid-19 pandemic."-- Preface.
001463634 500__ $$aInlcudes author index.
001463634 5050_ $$aExplainability in Machine Learning -- Causal Explanations and Fairness in Data -- Statistical Relational Extensions of Answer Set Programming -- Vadalog: Its Extensions and Business Applications -- Cross-Modal Knowledge Discovery, Inference, and Challenges -- Reasoning with Tractable Probabilistic Circuits -- From Statistical Relational to Neural Symbolic Artificial Intelligence -- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
001463634 506__ $$aAccess limited to authorized users.
001463634 520__ $$aThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was "Reasoning in Probabilistic Models and Machine Learning" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
001463634 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 2, 2023).
001463634 650_0 $$aArtificial intelligence$$vCongresses.
001463634 650_0 $$aSemantic Web$$vCongresses.
001463634 655_0 $$aElectronic books.
001463634 7001_ $$aBertossi, Leopoldo,$$eeditor.
001463634 7001_ $$aXiao, Guohui,$$eeditor.
001463634 77608 $$iPrint version: $$z3031314131$$z9783031314131$$w(OCoLC)1373931705
001463634 830_0 $$aLecture notes in computer science ;$$v13759.$$x1611-3349
001463634 852__ $$bebk
001463634 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-31414-8$$zOnline Access$$91397441.1
001463634 909CO $$ooai:library.usi.edu:1463634$$pGLOBAL_SET
001463634 980__ $$aBIB
001463634 980__ $$aEBOOK
001463634 982__ $$aEbook
001463634 983__ $$aOnline
001463634 994__ $$a92$$bISE