skip to main content
10.1145/1284420.1284462acmconferencesArticle/Chapter ViewAbstractPublication PagesdocengConference Proceedingsconference-collections
Article

SALT: a semantic approach for generating document representations

Published:28 August 2007Publication History

ABSTRACT

The structure of a document has an important influence on the perception of its content. Considering scientific publications, we can affirm that by making use of the ordinary linear layout, a well organized publication, following a "red wire", will always be better understood and analyzed than one having a poor or chaotic structure, but not necessarily poor content. Reading a publication in a linear way, from the first page to the last page means a lot of unnecessary information processing to the reader. Looking at a publication from another perspective by accessing the key-points or argumentative structure directly can give better insights into the author's thoughts, and for certain tasks (i.e. getting a first impression of an article) a representation of the document reduced to its core could be more important than its linear structure. In this paper, we will show how one can build different representations of the same document, by exploiting the semantics captured in the text. The focus will be on scientific publications and as building foundation we use the SALT (Semantically Annotated LATEX) annotation framework for creating Semantic PDF Documents.

References

  1. T. Groza, S. Handschuh, K. Müller, and S. Decker. SALT - Semantically Annotated LATEX for Scientific Publications. In Proceedings of the Fourth European Semantic Web Conference, (ESWC 2007), Innsbruck, Austria, May, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. W. Kunz and H.W.J. Rittel. Issues as elements of information system. Working paper 131, Institute of Urban and Regional Development, University of California, 1970.Google ScholarGoogle Scholar
  3. W. C. Mann and S. A. Thompson. Rhetorical structure theory: A theory of text organization. Technical Report RS-87-190, Information Science Institute, 1987.Google ScholarGoogle Scholar
  4. Daniel Marcu. Building up rhetorical structure trees. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, August, volume 2, pages 1069--1074, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. M. Taboada and W. C. Mann. Applications of rhetorical structure theory. Discourse Studies, 8, No. 4:567-588, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  6. C. Tempich, H. S. Pinto, Y. Sure, and S. Staab. An Argumentation Ontology for Distributed, Loosely-controlled and evolvInG Engineering processes of oNTologies (DILIGENT). In Proceedings of the Second European Semantic Web Conference, (ESWC 2005), Heraklion, Crete, Greece, May, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. V. Uren, S. B. Shum, G. Li, and M. Bachler. Sensemaking tools for understanding research literatures: Design, implementation and user evaluation. Int. Jnl. Human Computer Studies, 64, No.5:420--445, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. SALT: a semantic approach for generating document representations

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        DocEng '07: Proceedings of the 2007 ACM symposium on Document engineering
        August 2007
        236 pages
        ISBN:9781595937766
        DOI:10.1145/1284420

        Copyright © 2007 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 28 August 2007

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate178of537submissions,33%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader