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Reasoning Web. Semantic Technologies for Intelligent Data Access : 9th International Summer School 2013, Mannheim, Germany, July 30 -- August 2, 2013. Proceedings / edited by Sebastian Rudolph, Georg Gottlob, Ian Horrocks, Frank van Harmelen.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Rudolph, Sebastian, Editor.
Gottlob, G. (Georg), Editor.
Horrocks, Ian, Editor.
Van Harmelen, Frank, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 8067
Information Systems and Applications, incl. Internet/Web, and HCI ; 8067
Language:
English
Subjects (All):
Artificial intelligence.
Database management.
Machine theory.
Artificial Intelligence.
Database Management.
Formal Languages and Automata Theory.
Local Subjects:
Artificial Intelligence.
Database Management.
Formal Languages and Automata Theory.
Physical Description:
1 online resource (X, 285 pages) : 49 illustrations
Edition:
1st ed. 2013.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
System Details:
text file PDF
Summary:
This volume contains the lecture notes of the 9th Reasoning Web Summer School 2013, held in Mannheim, Germany, in July/August 2013. The 2013 summer school program covered diverse aspects of Web reasoning, ranging from scalable lightweight formalisms such as RDF to more expressive ontology languages based on description logics. It also featured foundational reasoning techniques used in answer set programming and ontology-based data access as well as emerging topics like geo-spatial information handling and reasoning-driven information extraction and integration.
Contents:
Introduction to linked data and its lifecycle on the Web
RDFS and OWL reasoning for linked data
Introductions to description logics
Answer set programming
Ontology-based data access with databases.- A geo-semantics flyby
Statistical relational data integration for information extraction.
Other Format:
Printed edition:
ISBN:
978-3-642-39784-4
9783642397844
Access Restriction:
Restricted for use by site license.

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