MEDLEY is an alignment method based on lexical and structural treatments. This method includes a specific technique to deal with multilingual ontologies. This paper introduces MEDLEY and summarizes the results for OAEI 2012. MEDLEY can be presented as an OWL ontology alignment method that relies on simple similarity metrics. Each ontology pair, can be transformed into graphs structures. This means that links are OWL primitives and nodes are classes, properties, and individuals. The algorithm includes a lexical, structural treatment. Each node can be matched with few ones, then MEDLEY select pairs that maximize the global similarity value.
1.1
MEDLEY generates alignments between OWL-DL ontologies based on simple lexical metrics and structures matching between links of each node (class, property, instance). Specific treatment is applied for multilinguality issue, using a dictionnary to find equivalence between concepts labelled in diffrent natural languages. 1.2
Each entity in the first ontology is aligned each entity in the second, in a primary step, in lexical metrics, then in structural treatment. The algorithm reiterate this process for all ontologies’s concepts.
– Lexical treatment : q-gram [
The MEDLEY method deals with three test suites used in the Ontology Alignment Evaluation Initiative (OAEI 2012). The method was wrapped in a certain folder structure to be evaluated locally after being integrated in the SEALS platform. The package contains all the libs files required by the method and a zipped .jar file that acts as a bridge. 1.4
The release of the MEDLEY method and the parameter file used for OAEI 2012 are located at https://github.com/medley. 2
2.1
In this section, we present the results obtained by MEDLEY in the OAEI 2012. The benchmark tests sets can be divided into eight groups: 101, 20x, 22x, 23x, 24x, 25x, 26x and 30x. For each group the mean values of precision and recall are computed. Table 1 shows the values of the evaluation metrics. Tables 1, 2 and 3 recapitulate the obtained values for this track. In scenario 1, MEDLEY have 0:54 of precision and 0:50, with 0:52 as recall an fmeasure about 0:52. In scenario 2, MEDLEY performs 0:59 of precision, 0:42 recall and 0:49 of f-measure. For treating multilingual ontologies, our method uses an external resource as sketched by figure 1 for the translation stage1. Tables 4, 5, 6, 7, 8, 9 and 10 summarize the results. 1 http://www.freelang.com/dictionnaire/index.php We participate this year for the first time in OAEI and see the result obtained by our method. The evaluation and comparison of ontology alignment and schema matching components as OAEI is very useful for the development of such
0.45 0.35 0.00
0.10 0.08 0.00
MEDLEY is still a primary work that needs to be adressed on few levels, notably, to deal with greater ontologies. 4
In this paper, we presented MEDLEY as an alignment method. The new proposed method MEDLEY, shows a special focus on multilinguality. The alignment process is based on examining the structures and the informative wealth on each ontlogy pair to align.