Reasoning Web. Causality, Explanations and Declarative Knowledge : 18th International Summer School 2022, Berlin, Germany, September 27–30, 2022, Tutorial Lectures / edited by Leopoldo Bertossi, Guohui Xiao.

Format:

Book

Contributor:

Bertossi, Leopoldo, editor.

Xiao, Guohui, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13759

Language:

English

Subjects (All):

Application software.

Computer and Information Systems Applications.

Local Subjects:

Computer and Information Systems Applications.

Physical Description:

1 online resource (219 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

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.

Contents:

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Bertossi, Leopoldo Reasoning Web. Causality, Explanations and Declarative Knowledge

ISBN:

9783031314148

OCLC:

1378065137