This paper describes the configuration of XMap for the OAEI 2015 competition and
discusses its results. XMap is able to automatically adapt to the matching task, choosing the …

Ontology alignment is the task of identifying semantically equivalent entities from two given
ontologies. Different ontologies have different representations of the same entity, resulting in …

Ontologies have emerged to establish a well-defined meaning for information, solving
problems of heterogeneity in data semantics and facilitating the process of information …

Data integration tasks such as the creation and extension of knowledge graphs involve the
fusion of heterogeneous entities from many sources. Matching and fusion of such entities …

Ontology matching is an effective method to establish interoperability between
heterogeneous ontologies. Artificial neural networks are powerful computational models …

Ontology is the kernel technique of Semantic Web (SW), which enables the interaction and
cooperation among different intelligent applications. However, with the rapid development of …

The semantic web progress gave rise to a growing number of ontologies in various fields. In
order to allow knowledge reuse, ontology matching is an interesting option. In this paper, we …

In this paper we describe a novel proposal in the field of smart cities: using an ontology
matching algorithm to guarantee the automatic information exchange between the agents …

In this paper, we present the results obtained by our ontology matching system XMap++
within the OAEI 2014 campaign. XMap++ is a scalable ontology alignment tools capable of …

Identifying alignments between ontologies has become a central knowledge engineering
activity. In ontology matching the same word placed in different textual contexts assumes …