Dealing with Uncertainty in Lexical Annotation


  • Sonia Bergamaschi
  • Laura Po
  • Serena Sorrentino
  • Alberto Corni



We present ALA, a tool for the automatic lexical annotation (i.e.
annotation w.r.t. a thesaurus/lexical resource) of structured and semi-structured data sources and the discovery of probabilistic lexical relationships in a data integration environment. ALA performs automatic lexical annotation through the use of probabilistic annotations, i.e. an annotation is associated to a probability value. By performing probabilistic lexical annotation, we discover probabilistic inter-sources lexical relationships among schema elements. ALA extends the lexical annotation module of the MOMIS data integration system. However, it may be applied in general in the context of schema mapping discovery, ontology merging and data integration system and it is particularly suitable for performing “on-the-fly” data integration or probabilistic ontology matching.


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Author Biography

Sonia Bergamaschi

José Palazzo M. de Oliveira é professor Titular no Instituto de Informática da UFRGS.

JPMO is Full Professor of Computer Science at UFRGS





How to Cite

Bergamaschi, S., Po, L., Sorrentino, S., & Corni, A. (2010). Dealing with Uncertainty in Lexical Annotation. Revista De Informática Teórica E Aplicada, 16(2), 93–96.



ER 2009 PhD Colloquium