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Reasoning Web. Reasoning on 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
Textbook Reasoning Web 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8714)

Table of contents

  1. Front Matter
    PDF

  2. Linked Open Data

    1. Introduction to Linked Data and Its Lifecycle on the Web
      Axel-Cyrille Ngonga Ngomo, Sören Auer, Jens Lehmann, Amrapali Zaveri
      Pages 1-99
    2. An Introduction to Question Answering over Linked Data
      Christina Unger, André Freitas, Philipp Cimiano
      Pages 100-140

  3. RDF and Graph Databases

    1. Query Processing for RDF Databases
      Zoi Kaoudi, Anastasios Kementsietsidis
      Pages 141-170
    2. Introduction to Graph Databases
      Josep Lluís Larriba-Pey, Norbert Martínez-Bazán, David Domínguez-Sal
      Pages 171-194

  4. Description Logic Based Ontologies

    1. An Introduction to Description Logics and Query Rewriting
      Roman Kontchakov, Michael Zakharyaschev
      Pages 195-244
    2. An Introduction to Ontology-Based Query Answering with Existential Rules
      Marie-Laure Mugnier, Michaël Thomazo
      Pages 245-278
    3. Ontology Based Data Access on Temporal and Streaming Data
      Özgür Lütfü Özçep, Ralf Möller
      Pages 279-312

  5. Applications

    1. Querying and Learning in Probabilistic Databases
      Maximilian Dylla, Martin Theobald, Iris Miliaraki
      Pages 313-368
    2. Semantic and Reasoning Systems for Cities and Citizens
      Spyros Kotoulas
      Pages 369-387
  6. Back Matter
    PDF

About this book

Introduction

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.

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

Editors and affiliations

  • Manolis Koubarakis
    • 1
  • Giorgos Stamou
    • 2
  • Giorgos Stoilos
    • 3
  • Ian Horrocks
    • 4
  • Phokion Kolaitis
    • 5
  • Georg Lausen
    • 6
  • Gerhard Weikum
    • 7
  1. 1.National and Kapodistrian University of AthensGreece
  2. 2.School of Electrical and Computer EngineeringNational Technical University of AthensZografouGreece
  3. 3.School of Electrical and Computer EngineeringNational Technical University of AthensZografouGreece
  4. 4.Department of Computer ScienceUniversity of OxfordOxfordUK
  5. 5.University of CaliforniaSanta CruzUSA
  6. 6.Institute for InformaticsUniversity of FreiburgFreiburgGermany
  7. 7.Max-Planck Institute for InformaticsSaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10587-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-10586-4
  • Online ISBN 978-3-319-10587-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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