APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources
Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Μαρία Τράκα, Paul Michael Finglas, Barbara Koroušić Seljak · 2020
In the modern era of data, advanced approaches for extracting information and knowledge from data are required. Moreover, the extracted information needs to be formalised to be usable by information systems. Today, there exist several resources of semantics on food waste, which is a huge environmental problem that need to be fixed as soon as possible. Yet, the problem is that the existing semantic resources are not aligned and therefore needs to be linked. Only in this way, the complementary knowledge from different resources will become of real value. In the paper, an AutoMap algorithm for automated mapping of knowledge on food waste from different semantic resources is presented. By integrating such an algorithm in a web based tool, experts and the general public can get an insight into complex knowledge that is required for inventing new solutions for the food waste valorisation.