An application for semantic markup of biodiversity documents

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We would like to demonstrate a machine-learning based semantic markup system that may be used to reformat free-text biodiversity documents in XML format for digital libraries. We named the system MARTT II. It is built on the MARTT engine described in [1], but with new components for example a parallel markup engine using the unsupervised learning algorithm described in [2]. The double Is in the name stand for Intuitive Interaction, which is our goal to make the system truly easy to use. They also mean the system supports two different automated markup engines, allowing the use to choose either one to use and make comparisons between the two.

Original languageEnglish (US)
Title of host publicationJCDL'08
Subtitle of host publicationProceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008
Pages421
Number of pages1
DOIs
StatePublished - 2008
Event8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08 - Pittsburgh, PA, United States
Duration: Jun 16 2008Jun 20 2008

Publication series

NameProceedings of the ACM International Conference on Digital Libraries

Other

Other8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08
Country/TerritoryUnited States
CityPittsburgh, PA
Period6/16/086/20/08

Keywords

  • Biodiversity informatics
  • Morphological description
  • Natural heritage literature
  • Semantic annotation
  • Semantic markup
  • Supervised machine learning
  • Unsupervised machine learning
  • XML

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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