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Reasoning Web. Declarative Artificial Intelligence : 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021, Tutorial Lectures / edited by Mantas Šimkus, Ivan Varzinczak.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 13100
- Information Systems and Applications, incl. Internet/Web, and HCI ; 13100
- Language:
- English
- Subjects (All):
- Application software.
- Artificial intelligence.
- Expert systems (Computer science).
- Logic, Symbolic and mathematical.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Knowledge Based Systems.
- Mathematical Logic and Foundations.
- Local Subjects:
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Knowledge Based Systems.
- Mathematical Logic and Foundations.
- Physical Description:
- 1 online resource (IX, 185 pages) : 33 illustrations, 9 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-95481-9
- 9783030954819
- Access Restriction:
- Restricted for use by site license.
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