Overview
- Made for students, researchers and practitioners interested in Knowledge Graphs, Question Answering, and Semantic Web
- Thoroughly revised tutorials cover logical foundations for constructing and querying knowledge graphs, linked data, semantics, fuzzy RDF and OWL knowledge bases
- Original, readable and useful lecture notes
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11078)
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 2018.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018.
The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can makeRDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
Editors and Affiliations
About the editors
Martin Theobald (born 1976) has been appointed as a Professor of Computer Science with a focus on “Big Data” by the Faculty of Science, Technology and Communication (FSTC) at the University of Luxembourg in February 2017.
Bibliographic Information
Book Title: Reasoning Web. Learning, Uncertainty, Streaming, and Scalability
Book Subtitle: 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures
Editors: Claudia d’Amato, Martin Theobald
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-00338-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-00337-1Published: 30 August 2018
eBook ISBN: 978-3-030-00338-8Published: 14 September 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 237
Number of Illustrations: 47 b/w illustrations
Topics: Database Management, Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Appl. in Administrative Data Processing, Mathematical Logic and Formal Languages