Multidimensional and Multimodal Information in EcoLexicon

  • Pilar León-Araúz
  • Arianne Reimerink
  • Pamela Faber
Part of the Studies in Computational Intelligence book series (SCI, volume 458)


EcoLexicon is a multilingual terminological knowledge base (TKB) on the environment that targets different user groups who wish to expand their knowledge of the environment for the purpose of text comprehension and/or generation. Users can freely access EcoLexicon, and are able to find the information needed, thanks to a user-friendly visual interface with different modules for conceptual, linguistic, and graphical data. The main goal of this TKB is user knowledge acquisition. This paper briefly explains the theoretical premises and methodology applied in EcoLexicon for knowledge extraction and representation. It also shows how environmental concepts are represented, interrelated, and contextualized. EcoLexicon combines the advantages of a relational database, allowing for a quick deployment and feeding of the platform, and an ontology, enhancing user queries. The internal coherence at all levels of a dynamic knowledge representation shows that even complex domains can be represented in a user-friendly way.


Relational Database Semantic Role Environmental Domain Knowledge Extraction Contextual Constraint 
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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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pilar León-Araúz
    • 1
  • Arianne Reimerink
    • 1
  • Pamela Faber
    • 1
  1. 1.Department of Translation and InterpretingUniversity of GranadaGranadaSpain

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