Published in

Elsevier, Procedia Technology, (5), p. 581-588, 2012

DOI: 10.1016/j.protcy.2012.09.064

Links

Tools

Export citation

Search in Google Scholar

Semantic Integration For Food Sales Analysis

Journal article published in 2012 by Miguel Pragosa, Vitor Basto-Fernandes ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Information systems interoperability is a complex topic that needs often to be addressed in a specific way. This paper presents an approach for interoperability between point-of-sales systems in the food sales domain and food composition database systems (food nutritional composition). The aim of this proposal is the creation of an integration mechanism able to associate food composition data from public health authorities to the food sold in point-of-sales systems. Assuming that food items identifications do not follow any identification standard, lexical, syntactical, semantic and classification techniques were introduced. Our intention is to demonstrate the feasibility of the automatic mapping process and the value raised by such an integration process.