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Reasoning Web : declarative artificial intelligence : 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures / Mantas Šimkus, Ivan Varzinczak (eds.).

Summer School on Reasoning Web (17th : 2021 : Online); Šimkus, Mantas, editor.; Varzinczak, Ivan, editor.
2022
Q334 .S86 2021
Available Online
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Title
Reasoning Web : declarative artificial intelligence : 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021 : tutorial lectures / Mantas Šimkus, Ivan Varzinczak (eds.).
Meeting Name
Summer School on Reasoning Web (17th : 2021 : Online)
ISBN
9783030954819 (electronic bk.)
3030954811 (electronic bk.)
9783030954802
3030954803
DOI
https://doi.org/10.1007/978-3-030-95481-9
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color).
Item Number
10.1007/978-3-030-95481-9 doi
Call Number
Q334 .S86 2021
Dewey Decimal Classification
006.3
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 again "Declarative Artificial Intelligence" 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: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
Note
International conference proceedings.
"As a result of the COVID-19 pandemic, Declarative AI 2021 was held as an online event"--Preface.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 15, 2022).
Added Author
Šimkus, Mantas, editor.
Varzinczak, Ivan, editor.
Series
Lecture notes in computer science ; 13100.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Available in Other Form
Print version: 9783030954802
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Online Access
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All Resources
Foundations of Graph Path Query Languages
On Combining Ontologies and Rules
Modelling Symbolic Knowledge using Neural Representations
Mining the Semantic Web with Machine Learning: main issues that need to be known
Temporal ASP: from logical foundations to practical use with telingo
A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs
Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis.

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