TY  - BOOK
AU  - Šimkus,Mantas
AU  - Varzinczak,Ivan
TI  - Reasoning Web. Declarative Artificial Intelligence : 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021, Tutorial Lectures 
T2  - Information Systems and Applications, incl. Internet/Web, and HCI
SN  - 9783030954819
U1  - 005.3 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Application software
KW  - Artificial intelligence
KW  - Expert systems (Computer science)
KW  - Mathematical logic
KW  - Computer and Information Systems Applications
KW  - Artificial Intelligence
KW  - Knowledge Based Systems
KW  - Mathematical Logic and Foundations
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-030-95481-9
ER  -