© 2014

Towards the Multilingual Semantic Web

Principles, Methods and Applications

  • Paul Buitelaar
  • Philipp Cimiano
  • First comprehensive overview of a research area encompassing various disciplines including Semantic Web and Linked Data technologies, natural language processing, computational linguistics, terminology and information retrieval

  • The presentation covers the main foundational principles, methods and approaches to bring the vision of a Multilingual Semantic Web closer as well as showing its potential to solve real-world problems

  • Paul Buitelaar and Philipp Cimiano are among the main drivers of the Multilingual Semantic Web, having organized several workshops on the topic at major conferences including the World Wide Web Conference and the International Semantic Web Conference


Table of contents

  1. Front Matter
    Pages i-xv
  2. Principles

  3. Methods

    1. Front Matter
      Pages 99-99
    2. Daniel Vila-Suero, Asunción Gómez-Pérez, Elena Montiel-Ponsoda, Jorge Gracia, Guadalupe Aguado-de-Cea
      Pages 101-117
    3. Cássia Trojahn, Bo Fu, Ondřej Zamazal, Dominique Ritze
      Pages 119-135
    4. David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Byung-Joo Shin, Yuri Tijerino
      Pages 155-173
    5. Alessio Bosca, Mauro Dragoni, Chiara Di Francescomarino, Chiara Ghidini
      Pages 175-192
    6. Daniel Gerber, Axel-Cyrille Ngonga Ngomo
      Pages 193-209
    7. Mariana Damova, Dana Dannélls, Ramona Enache, Maria Mateva, Aarne Ranta
      Pages 211-226
    8. Francis Bond, Christiane Fellbaum, Shu-Kai Hsieh, Chu-Ren Huang, Adam Pease, Piek Vossen
      Pages 243-258
  4. Applications

    1. Front Matter
      Pages 275-275

About this book


To date, the relation between multilingualism and the Semantic Web has not yet received enough attention in the research community. One major challenge for the Semantic Web community is to develop architectures, frameworks and systems that can help in overcoming national and language barriers, facilitating equal access to information produced in different cultures and languages. As such, this volume aims at documenting the state-of-the-art with regard to the vision of a Multilingual Semantic Web, in which semantic information will be accessible in and across multiple languages.

The Multilingual Semantic Web as envisioned in this volume will support the following functionalities:  (1) responding to information needs in any language with regard to semantically structured data available on the Semantic Web and Linked Open Data (LOD) cloud, (2) verbalizing and accessing semantically structured data, ontologies or other conceptualizations in multiple languages, (3) harmonizing, integrating, aggregating, comparing and repurposing semantically structured data across languages, and (4) aligning and reconciling ontologies or other conceptualizations across languages.

The volume is divided into three main sections: Principles, Methods and Applications. The section on “Principles” discusses models, architectures, and methodologies that enrich the current Semantic Web architecture with features necessary to handle multiple languages. The section on “Methods” describes algorithms and approaches for solving key issues related to the construction of the Multilingual Semantic Web. The section on “Applications” describes the use of Multilingual Semantic Web based approaches in the context of several  application domains.

This volume is essential reading for all academic and industrial researchers who want to embark on this new research field at the intersection of various research topics, including the Semantic Web, Linked Data, natural language processing, computational linguistics, terminology, and information retrieval. It will also be of great interest to practitioners who are interested in re-examining their existing infrastructure and methodologies for handling multiple languages in Web applications or information retrieval systems.


Natural language interfaces Natural language processing Web science computational linguistics cross-lingual retrieval information retrieval multilingual retrieval ontologies semantic Web

Editors and affiliations

  • Paul Buitelaar
    • 1
  • Philipp Cimiano
    • 2
  1. 1.National University of IrelandGalwayIreland
  2. 2.Universität BielefeldBielefeldGermany

About the editors

Dr. Paul Buitelaar is a senior research fellow and head of the Unit for Natural Language Processing of the Insight Centre for Data Analytics at the National University of Ireland, Galway. Before joining Insight (formerly DERI) in 2009, he was a senior researcher at the DFKI Language Technology Lab and co-head of the DFKI Competence Center Semantic Web in Saarbrücken, Germany. His main research interests are in the development and use of Natural Language Processing methods and tools for semantic-based information access.

Prof. Dr. Philipp Cimiano is full professor of computer science at the University of Bielefeld and leads the Semantic Computing group at CITEC. Prior to this, he was assistant professor at Delft University of Technology, where he worked in the Web Information Systems Group. He has published over 100 research papers in NLP, Ontologies, Knowledge Acquisition and Semantic Web and was nominated one of “AI’s 10 to Watch” by the IEEE Intelligent Systems Magazine.

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