AROMA results for OAEI 2008

The second stage of AROMA discovers the subsumption relations by using the association rule model and the implication intensity measure [Gras et al., 2008].. an implication

The first stage constructs a set of relevant terms and/or datavalues for each class and property. To do this, we extract the vocabulary of class and property from their annotations

Our algorithm contains preprocess- ing, adaptation module for OAEI 2008, the basic block of algorihtm and the local align- ment process.. We created our own persistent model

The Automated Semantic Mapping of Ontologies with Validation (ASMOV) algorithm for ontology alignment was one of the top performing algorithms in the 2007

In the context of ontology matching, the class of compound nouns semantic relation detection algorithms may be used in order to determine such relations within ontology

We discuss relationships of attribute implications to various tools in com- puter science and artificial intelligence: functional dependencies, horn theories, emer- gent

A strong influence of the nature of the aroma compound on its behavior towards the matrix was pointed out; for 2-nonanone, a hydrophobic compound (log P = 2.9) and relatively

The plot shows that replacing the original nonvolatile matrix (M1A1) by a nonvolatile matrix from a second white wine (M2A1) has a small sensory effect, but that replacing it by a