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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22–26, 2018, Tutorial Lectures

  • Claudia d’Amato
  • Martin Theobald
Textbook Reasoning Web 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11078)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11078)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Hannah Bast, Niklas Schnelle
    Pages 26-34
  3. İsmail İlkan Ceylan, Thomas Lukasiewicz
    Pages 35-77
  4. Daria Stepanova, Mohamed H. Gad-Elrab, Vinh Thinh Ho
    Pages 142-172
  5. Daniel Janke, Steffen Staab
    Pages 173-222
  6. Emanuele Della Valle, Riccardo Tommasini, Marco Balduini
    Pages 223-226
  7. Jacopo Urbani
    Pages 227-235
  8. Back Matter
    Pages 237-237

About this book

Introduction

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.


Keywords

international summer school semantic Web knowledge graphs rule-based reasoning data uncertainty scalability learning machine learning data management reasoning web semantics databases ontologies knowledge-based system World Wide Web

Editors and affiliations

  • Claudia d’Amato
    • 1
  • Martin Theobald
    • 2
  1. 1.University of Bari Aldo MoroBariItaly
  2. 2.University of LuxembourgEsch-sur-AlzetteLuxembourg

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-00338-8
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-00337-1
  • Online ISBN 978-3-030-00338-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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