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 ECL@SS) and web directories (e.g., GOOGLE and YAHOO!). The objective of this paper is the description of a use case in which matching algorithm has be...

Abstract The increasing availability of large data sets has initiated a resurgence in artificial intelligence (AI) research. Today AI is integrated into wide variety so-called smart products to personalize user experiences. Smart technologies are typically designed for ease use, with their complex underlying procedures (intentionally) obfuscated; explaining particular outcomes hampered by inher...

The aim of this study was to represent effective componentsin demand chain which help organizations attain high performance levelsthrough identification of these components and determining theirdegree of importance. The following questions were major ideas of thisstudy: what are the most effective components in demand chain? Andhow are they effective on organizational performance? To this end,m...