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Populating a Database from Parallel Texts Using Ontology-Based Information Extraction

  • M. M. Wood
  • S. J. Lydon
  • V. Tablan
  • D. Maynard
  • H. Cunningham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3136)

Abstract

Legacy data in many mature descriptive sciences is distributed across multiple text descriptions. The challenge is both to extract this data, and to correlate it once extracted. The MultiFlora system does this using an established Information Extraction system tuned to the domain of botany and integrated with a formal ontology to structure and store the data. A range of output formats are supported through the W3C RDFS standard, making it simple to populate a database as desired.

Keywords

Natural Language Processing Resource Description Framework Base Ontology Legacy Data Parallel Text 
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-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • M. M. Wood
    • 1
  • S. J. Lydon
    • 2
  • V. Tablan
    • 3
  • D. Maynard
    • 3
  • H. Cunningham
    • 3
  1. 1.Dept of Computer ScienceUniversity of ManchesterManchesterUK
  2. 2.Earth Science Education UnitKeele UniversityStaffordshireUK
  3. 3.Dept of Computer ScienceUniversity of SheffieldSheffieldUK

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