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Reasoning Web. Reasoning and the Web in the Big Data Era

  • Kartonierter Einband
  • 390 Seiten
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This volume contains the lecture notes of the 10th Reasoning Web Summer School 2014, held in Athens, Greece, in September 2014. In... Weiterlesen
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Beschreibung

This volume contains the lecture notes of the 10th Reasoning Web Summer School 2014, held in Athens, Greece, in September 2014. In 2014, the lecture program of the Reasoning Web introduces students to recent advances in big data aspects of semantic web and linked data, and the fundamentals of reasoning techniques that can be used to tackle big data applications.

Made for students, researchers, and practitioners with sufficient background in computer science

Original, readable, and useful lecture notes, providing pointers to the relevant literature

Thoroughly revised tutorials by distinguished invited speakers Accompanying lecture slides are available on the summer school web site



Autorentext
Gerhard Weikum is Professor of Computer Science at University of the Saarland in Saarbruecken, Germany, where he leads a research group on database and information systems. His research has focused on parallel and distributed information systems, transaction processing and workflow management, database optimization and performance evaluation, multimedia data management, and intelligent search on Web data.

Inhalt

Introduction to Linked Data and Its Lifecycle on the Web.- An Introduction to Question Answering over Linked Data.- Query Processing for RDF Databases.- Introduction to Graph Databases.- An Introduction to Description Logics and Query.- An Introduction to Ontology-Based Query Answering with Existential.- Ontology Based Data Access on Temporal and Streaming.- Querying and Learning in Probabilistic Databases.- Semantic and Reasoning Systems for Cities and Citizens.

Produktinformationen

Titel: Reasoning Web. Reasoning and the Web in the Big Data Era
Untertitel: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings
Editor:
EAN: 9783319105864
ISBN: 978-3-319-10586-4
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Informatik
Anzahl Seiten: 390
Größe: H22mm x B234mm x T158mm
Jahr: 2014
Untertitel: Englisch
Auflage: 2014

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