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Reasoning Web. Declarative Artificial Intelligence [electronic resource] : 16th International Summer School 2020, Oslo, Norway, June 24-26, 2020, Tutorial Lectures / edited by Marco Manna, Andreas Pieris.

Contributor(s): Manna, Marco [editor.] | Pieris, Andreas [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 12258Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: IX, 255 p. 25 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030600679.Subject(s): Database management | Artificial intelligence | Application software | Computers | Natural language processing (Computer science) | Database Management | Artificial Intelligence | Computer and Information Systems Applications | Computer Hardware | Natural Language Processing (NLP)Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
Contents:
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 -- Knowledge Graphs: Research Directions.
In: Springer Nature eBookSummary: 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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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 -- Knowledge Graphs: Research Directions.

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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