Reasoning Web. Causality, Explanations and Declarative Knowledge (Record no. 186630)

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fixed length control field 03681nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-31414-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130241.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031314148
-- 978-3-031-31414-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-31414-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.76.A65
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Subject category code UB
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Subject category code COM005000
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Subject category code UX
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082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.3
Edition number 23
245 10 - TITLE STATEMENT
Title Reasoning Web. Causality, Explanations and Declarative Knowledge
Medium [electronic resource] :
Remainder of title 18th International Summer School 2022, Berlin, Germany, September 27–30, 2022, Tutorial Lectures /
Statement of responsibility, etc edited by Leopoldo Bertossi, Guohui Xiao.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent IX, 211 p. 22 illus., 15 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 13759
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc The 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bertossi, Leopoldo.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Xiao, Guohui.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031314131
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031314155
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 13759
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-31414-8">https://doi.org/10.1007/978-3-031-31414-8</a>
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