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

10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings

Manolis Koubarakis, Giorgos Stamou, Giorgos Stoilos, Ian Horrocks, Phokion Kolaitis, Georg Lausen, Gerhard Weikum (Herausgeber)

Buch | Softcover

X, 390 Seiten

2014
Springer International Publishing (Verlag)
978-3-319-10586-4 (ISBN)

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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 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.

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.

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.

Erscheint lt. Verlag	15.8.2014
Reihe/Serie	Information Systems and Applications, incl. Internet/Web, and HCI
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	X, 390 p. 93 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	611 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Artificial Intelligence • Big Data • data management systems • Data streaming • Description Logics • graph databases • information systems • Knowledge Discovery • Linked Open Data • LOD • Ontologies • ontology-based data access • Probabilistic Databases • query answering • RDF databases • Reasoning • resource description framework • semantic web • temporal reasoning • Web
ISBN-10	3-319-10586-8 / 3319105868
ISBN-13	978-3-319-10586-4 / 9783319105864
Zustand	Neuware