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 11810)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019.
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 make RDF 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
Markus Krötzsch is a full professor at the Faculty of Computer Science of TU Dresden, where he is holding the chair for Knowledge-Based Systems. He obtained his Ph.D. at Karlsruhe Institute of Technology (KIT) in 2010, and thereafter worked as a researcher and departmental lecturer at the Department of Computer Science of the University of Oxford until October 2013.
Daria Stepanova is currently a research scientist at Bosch Center for Artificial Intelligence. Prior to that she was a senior researcher heading a group in Semantic Data at Max Planck Institute for Informatics. She obtained her PhD in Computational Logic from Vienna University of Technology in 2015.
Bibliographic Information
Book Title: Reasoning Web. Explainable Artificial Intelligence
Book Subtitle: 15th International Summer School 2019, Bolzano, Italy, September 20–24, 2019, Tutorial Lectures
Editors: Markus Krötzsch, Daria Stepanova
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-31423-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-31422-4Published: 18 September 2019
eBook ISBN: 978-3-030-31423-1Published: 17 September 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 283
Number of Illustrations: 343 b/w illustrations, 23 illustrations in colour
Topics: Database Management, Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Appl. in Administrative Data Processing, Mathematical Logic and Formal Languages