Representation of Texts in Structured Form

Mladen Stanojevic1 and Sanja VraneŇ°1

  1. University of Belgrade, Institute Mihajlo Pupin
    Volgina 15, 11060 Belgrade, Serbia
    {mladen.stanojevic, sanja.vranes}@pupin.rs

Abstract

Although the existing knowledge representation techniques, ranging from the relational databases to the most recent Semantic web languages, are successfully applied in numerous practical applications, they are still unable to represent the information contained in text documents and web pages in structured form, suitable for productive text processing. Text files can represent text documents with no loss of information, however, this information is represented in an unstructured form. Various knowledge formalisms used in different phases of Natural Language Understanding, such as lexical, syntactic, semantic, pragmatic and discourse analysis, are still unable to represent texts in structured form with no loss of information. In this paper, we define the crucial requirements for structured text representation and then, we give a brief introduction to a representation technique that fulfills all these requirements, including the basic data types and learning techniques used to create, maintain and interpret the resulting representation formalism.

Key words

structured representation, learning, text processing, natural language understanding, regular languages

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS100901038S

Publication information

Volume 9, Issue 1 (January 2012)
Year of Publication: 2012
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Stanojevic, M., VraneŇ°, S.: Representation of Texts in Structured Form. Computer Science and Information Systems, Vol. 9, No. 1, 23-47. (2012)