An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

This paper aims at analyzing the key trends and challenges of the ontology matching field.
The main motivation behind this work is the fact that despite many component matching …

We view match as an operator that takes two graph-like structures (eg, classifications, XML
schemas) and produces a map** between the nodes of these graphs that correspond …

Current schema matching approaches still have to improve for large and complex Schemas.
The large search space increases the likelihood for false matches as well as execution …

We view match as an operator that takes two graph-like structures (eg, XML schemas) and
produces a map** between the nodes of these graphs that correspond semantically to …

In this paper we focus on the semantic heterogeneity problem as one of the main challenges
in current Spatial Data Infrastructures (SDIs). We first report on the state of the art in reducing …

Matching hierarchical structures, like taxonomies or web directories, is the premise for
enabling interoperability among heterogenous data organizations. While the number of new …

Semantic matching determines the map**s between the nodes of two graphs (eg,
ontologies) by computing logical relations (eg, subsumption) holding among the nodes that …

We concentrate on the use of ontologies for the categorization of objects, eg, photos, books,
web pages. Lightweight ontologies are ontologies with a tree structure where each node is …

Despite the progress made, one of the main barriers towards the use of semantics is the lack
of background knowledge. Dealing with this problem has turned out to be a very difficult task …