Overview
- 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
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8714)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: Reasoning Web 2014.
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About this book
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Keywords
- LOD
- RDF databases
- artificial intelligence
- big data
- data management systems
- data streaming
- description logics
- graph databases
- information systems
- knowledge discovery
- linked open data
- ontologies
- ontology-based data access
- probabilistic databases
- query answering
- reasoning
- resource description framework
- semantic web
- temporal reasoning
Table of contents (9 papers)
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RDF and Graph Databases
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Description Logic Based Ontologies
Editors and Affiliations
Bibliographic Information
Book Title: Reasoning Web. Reasoning and the Web in the Big Data Era
Book Subtitle: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings
Editors: Manolis Koubarakis, Giorgos Stamou, Giorgos Stoilos, Ian Horrocks, Phokion Kolaitis, Georg Lausen, Gerhard Weikum
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-10587-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-10586-4Published: 15 August 2014
eBook ISBN: 978-3-319-10587-1Published: 03 September 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 390
Number of Illustrations: 93 b/w illustrations
Topics: Database Management, Artificial Intelligence, Mathematical Logic and Formal Languages, Information Storage and Retrieval