SALT - Semantically Annotated \(\mbox{\LaTeX}\) for Scientific Publications

  • Tudor Groza
  • Siegfried Handschuh
  • Knud Möller
  • Stefan Decker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4519)


Machine-understandable data constitutes the foundation for the Semantic Web. This paper presents a viable way for authoring and annotating Semantic Documents on the desktop. In our approach, the PDF file format is the container for document semantics, being able to store both the content and the related metadata in a single file. To achieve this, we provide a framework (SALT - Semantically Annotated \(\mbox{\LaTeX}\)), that extends the \(\mbox{\LaTeX}\) writing environment and supports the creation of metadata for scientific publications. SALT allows the author to create metadata concurrently, i.e. while in the process of writing a document. We discuss some of the requirements which have to be met when developing such a support for creating semantic documents. In addition, we describe a usage scenario to show the feasability and benefit of our approach.


Semantic Annotation Semantic Layer Rhetorical Structure Visual Annotation Semantic Metadata 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Tudor Groza
    • 1
  • Siegfried Handschuh
    • 1
  • Knud Möller
    • 1
  • Stefan Decker
    • 1
  1. 1.DERI, National University of Ireland, Galway, IDA Business Park, Lower Dangan, GalwayIreland

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