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Foundations of Information and Knowledge Systems - 12th International Symposium, FoIKS 2022, Helsinki, Finland, June 20-23,... Foundations of Information and Knowledge Systems - 12th International Symposium, FoIKS 2022, Helsinki, Finland, June 20-23, 2022, Proceedings (Paperback, 1st ed. 2022)
Ivan Varzinczak
R1,682 Discovery Miles 16 820 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the 12th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2022, held in Helsinki, Finland, in June 2022. The 13 full papers presented were carefully reviewed and selected from 21 submissions. The papers address various topics such as information and knowledge systems, including submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics and optimization.

Reasoning Web. Declarative Artificial Intelligence - 17th International Summer School 2021, Leuven, Belgium, September 8-15,... Reasoning Web. Declarative Artificial Intelligence - 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021, Tutorial Lectures (Paperback, 1st ed. 2022)
Mantas Simkus, Ivan Varzinczak
R2,174 Discovery Miles 21 740 Ships in 18 - 22 working days

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.

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