Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
Traditional information retrieval systems aim at satisfying most users for most of their searches, leaving aside the context in which the search takes place. We propose to model tw...
Nathalie Hernandez, Josiane Mothe, Claude Chrismen...
This paper discusses the ontological status of remote sensing images, from a GIScience perspective. We argue that images have a dual nature—they are fields at the measurement lev...
This work proposes a system process for extracting automatically a fuzzy ontology from a collection of web resources. The approach exploits the Formal Concept Analysis theory for ...
Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Sab...
Workflow models have been used and refined for years to execute processes within organisations. To deal with collaborative processes (choreographies) these internal workflow model...