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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Lecture Notes in Computer Science, 13759 |
| Release date: |
April 2023 |
| Firstpublished: |
2023 |
| Editors: |
Leopoldo Bertossi
• Guohui Xiao
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
211 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-131413-1 |
| Categories: |
Books
|
| LSN: |
3-03-131413-1 |
| Barcode: |
9783031314131 |
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