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.

ALA: Dealing with Uncertainty in Lexical Annotation / Bergamaschi, Sonia; Po, Laura; Sorrentino, Serena; Corni, Alberto. - ELETTRONICO. - (2009).

ALA: Dealing with Uncertainty in Lexical Annotation

BERGAMASCHI, Sonia;PO, Laura;SORRENTINO, Serena;CORNI, Alberto
2009

Abstract

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.
Bergamaschi, Sonia; Po, Laura; Sorrentino, Serena; Corni, Alberto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/646393
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