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Reasoning Web Declarative Artificial Intelligence 16th International Summer School 2020 Oslo Norway June 2426 2020 Tutorial Lectures 1st Ed Marco Manna

  • SKU: BELL-22497408
Reasoning Web Declarative Artificial Intelligence 16th International Summer School 2020 Oslo Norway June 2426 2020 Tutorial Lectures 1st Ed Marco Manna
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Reasoning Web Declarative Artificial Intelligence 16th International Summer School 2020 Oslo Norway June 2426 2020 Tutorial Lectures 1st Ed Marco Manna instant download after payment.

Publisher: Springer International Publishing;Springer
File Extension: PDF
File size: 13.56 MB
Author: Marco Manna, Andreas Pieris
ISBN: 9783030600662, 9783030600679, 3030600661, 303060067X
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

Reasoning Web Declarative Artificial Intelligence 16th International Summer School 2020 Oslo Norway June 2426 2020 Tutorial Lectures 1st Ed Marco Manna by Marco Manna, Andreas Pieris 9783030600662, 9783030600679, 3030600661, 303060067X instant download after payment.

This volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020.

The Reasoning Web series of annual summer schools has become the prime educational event in the field of reasoning techniques on the Web, attracting both young and established researchers. The broad theme of this year's summer school was “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 have been presented during the school: Introduction to Probabilistic Ontologies, On the Complexity of Learning Description Logic Ontologies, Explanation via Machine Arguing, Stream Reasoning: From Theory to Practice, First-Order Rewritability of Temporal Ontology-Mediated Queries, An Introduction to Answer Set Programming and Some of Its Extensions, Declarative Data Analysis using Limit Datalog Programs, and Knowledge Graphs: Research Directions.

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