Matching algorithms automatically discover semantic relations between two autonomously developed conceptual representations of two overlapping domains. Typical examples of such conceptualizations are electronic market catalogues (e.g., Unspsc and Eclass and web directories (e.g., Google and Yahoo). The objective of this paper is the description of a use case in which the matching algorithm Ctxmatch, deveoped at ITC-IRST and University of Trento, has been used to re-classify into Universal Standard Products and Services Classification (Unspsc) the catalogue of the office equipment and accessories used by a worldwide telecommunication company to classify its suppliers. On the basis of this experience we are envisaging new applications of the algorithm in the area of demand aggregation. We conclude the paper by briefly describing a future application in this area
Context matching for electronic marketplaces: a case study
Bonifacio, Matteo Salvatore;Serafini, Luciano
2004-01-01
Abstract
Matching algorithms automatically discover semantic relations between two autonomously developed conceptual representations of two overlapping domains. Typical examples of such conceptualizations are electronic market catalogues (e.g., Unspsc and Eclass and web directories (e.g., Google and Yahoo). The objective of this paper is the description of a use case in which the matching algorithm Ctxmatch, deveoped at ITC-IRST and University of Trento, has been used to re-classify into Universal Standard Products and Services Classification (Unspsc) the catalogue of the office equipment and accessories used by a worldwide telecommunication company to classify its suppliers. On the basis of this experience we are envisaging new applications of the algorithm in the area of demand aggregation. We conclude the paper by briefly describing a future application in this areaI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
