XMap results for OAEI 2017

This paper describes the configuration of XMap for the OAEI 2015 competition and discusses its results. XMap is able to automatically adapt to the matchingtask, choosing the best conguration forthe givenpair of ontologies.This is our third participation in the OAEI and we can see an overall improvement on nearly every task. A high-level view of mapping process is depicted in Figure 1. It is a multi-layer system which uses three different layers to perform the ontology alignment process: a termino- logical layer, a structural layer and an alignment layer. The output values of each layer serves as input to the upper one and each layer provides an improvement in the compu- tation of the similarity between concepts. Figure 1 shows the architecture of the XMap system. Matchers in XMap are the algorithms that compare two ontologies and return an alignment between them. The matchers employed various strategies (entity label, struc- tural description of concepts, range for relations, instantiated attributes or extensional descriptions) in each layer which are listed below: a) Terminological Layer The terminological layer is responsible for carrying out the process of computing the similarity between the entity names within the ontologies, combining linguistic sim- ilarity with the semantic elements of the context of the entities. This layer receives as inputs the values of the string similarity, the linguistic similarity, the semantic similar- ity and translation-based similarity computed within the lexical-semantic module. The output variable represents the terminological similarity: