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Controlled Natural Language

Workshop on Controlled Natural Language, CNL 2009, Marettimo Island, Italy, June 8-10, 2009. Revised Papers

  • Norbert E. Fuchs

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5972)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5972)

Table of contents

  1. Front Matter
  2. Language Aspects

    1. Paula Engelbrecht, Glen Hart, Catherine Dolbear
      Pages 56-64
    2. Peter Clark, William R. Murray, Phil Harrison, John Thompson
      Pages 65-81
    3. Krasimir Angelov, Aarne Ranta
      Pages 82-101
    4. Normunds Gruzitis, Guntis Barzdins
      Pages 102-120
    5. Camilo Thorne, Diego Calvanese
      Pages 135-154
    6. Silvie Spreeuwenberg, Keri Anderson Healy
      Pages 155-169
  3. Tools and Applications

    1. Marcos Cramer, Bernhard Fisseni, Peter Koepke, Daniel Kühlwein, Bernhard Schröder, Jip Veldman
      Pages 170-186
    2. Brian Davis, Pradeep Dantuluri, Laura Dragan, Siegfried Handschuh, Hamish Cunningham
      Pages 187-205
    3. Paul R. Smart, Jie Bao, Dave Braines, Nigel R. Shadbolt
      Pages 206-225
    4. Gordon J. Pace, Michael Rosner
      Pages 226-245
    5. Ronald Denaux, Vania Dimitrova, Anthony G. Cohn, Catherine Dolbear, Glen Hart
      Pages 246-264
    6. Richard N. Shiffman, George Michel, Michael Krauthammer, Norbert E. Fuchs, Kaarel Kaljurand, Tobias Kuhn
      Pages 265-280
  4. What Are Controlled Natural Languages?

    1. Adam Wyner, Krasimir Angelov, Guntis Barzdins, Danica Damljanovic, Brian Davis, Norbert Fuchs et al.
      Pages 281-289
  5. Back Matter

About these proceedings

Introduction

Controlled natural languages (CNLs) are subsets of natural languages, obtained by - stricting the grammar and vocabulary in order to reduce or eliminate ambiguity and complexity. Traditionally, controlled languagesfall into two major types: those that - prove readability for human readers, and those that enable reliable automatic semantic analysis of the language. [. . . ] The second type of languages has a formal logical basis, i. e. they have a formal syntax and semantics, and can be mapped to an existing formal language, such as ?rst-order logic. Thus, those languages can be used as knowledge representation languages, and writing of those languages is supported by fully au- matic consistency and redundancy checks, query answering, etc. Wikipedia Variouscontrollednatural languagesof the second type have been developedby a n- ber of organizations, and have been used in many different application domains, most recently within the Semantic Web. The workshop CNL 2009 was dedicated to discussing the similarities and the d- ferences of existing controlled natural languages of the second type, possible impro- ments to these languages, relations to other knowledge representation languages, tool support, existing and future applications, and further topics of interest.

Keywords

CNL Clang Natural computational linguistics forrmal mathematics knowledge bases language technologies

Editors and affiliations

  • Norbert E. Fuchs
    • 1
  1. 1.Department of Informatics & Institute of Computational LinguisticsUniversity of ZurichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-14418-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-14417-2
  • Online ISBN 978-3-642-14418-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site