We apply matching task profiling metrics to automatically optimize the system's configuration depending on the characteristics of the ontologies to be matched.
Abstract. An ontology matching system can usually be run with different con- figurations that optimize the system's effectiveness, namely precision, recall, ...
This work applies matching task profiling metrics to automatically optimize the system's configuration depending on the characteristics of the ontologies to ...
Abstract. An ontology matching system can usually be run with different con- figurations that optimize the system's effectiveness, namely precision, recall, ...
This work proposes a new automatic SF selection framework for OM, which consists of two new components. First, a semantic sampling method is proposed.
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Palmonari: Automatic Configuration Selection Using Ontology Matching Task Profiling In Proceedings of ESWC, 2012. V. Mascardi, A. Locoro: BOwL: Exploiting ...
In particular, ontology matching and integration can benefit from background ontologies as semantic relationships may be discovered which cannot be identified ...
Apr 11, 2024 · This work introduces DualLoop, an active learning method tailored to ontology matching. DualLoop offers three main contributions.
Nov 7, 2014 · In this paper, we present a novel methodology for automatically selecting background knowledge sources for any given ontologies to match.
We bypass this lacking functionality by introducing an alternative approach for aligning results of different ontology matchers using simple URI replacement in ...