The minimal mapping between two lightweight ontologies contains that minimal subset of mapping elements such that all the others can be efficiently computed from them. They have clear advantages in visualization and user interaction since they are the minimal amount of information that needs to be dealt with. They make the work of the user much easier, faster and less error prone. Experiments on our proposed algorithm to compute them demonstrate a substantial improvement both in run-time and number of elements found
Incoherent alignment has been the main focus in the matching process since 2010. Incoherent means t...
This paper proposes a domain independent method for handling interoperability problems by learning a...
Communication in open systems is hampered by the lack of standardization of the on-tology used to de...
The minimal mapping between two lightweight ontologies contains that minimal subset of mapping eleme...
Abstract. The minimal mapping between two lightweight ontologies contains that minimal subset of map...
Abstract. The minimal mapping between two lightweight ontologies contains that minimal subset of map...
As a valid solution to the semantic heterogeneity problem, many matching solutions have been propose...
Given two classifications, or lightweight ontologies, we compute the minimal mapping, namely the sub...
Abstract. The best practices for Linked Data design recommend reusing known ontologies. However, the...
In this paper, we present an algorithm and a tool for computing minimal, equivalent EL concepts wrt....
In this paper, we present an algorithm and a tool for computing minimal, equivalent EL concepts wrt....
Abstract. Dealing with heterogeneous ontologies by means of semantic map-pings has become an importa...
Identifying semantic correspondences between different vocabularies has been recognized as a fundame...
Abstract –Ontology mapping is an important way to solve two mainly heterogeneity problem metadata an...
Many projects have dealt with mappings between classifications both in computer science and digital ...
Incoherent alignment has been the main focus in the matching process since 2010. Incoherent means t...
This paper proposes a domain independent method for handling interoperability problems by learning a...
Communication in open systems is hampered by the lack of standardization of the on-tology used to de...
The minimal mapping between two lightweight ontologies contains that minimal subset of mapping eleme...
Abstract. The minimal mapping between two lightweight ontologies contains that minimal subset of map...
Abstract. The minimal mapping between two lightweight ontologies contains that minimal subset of map...
As a valid solution to the semantic heterogeneity problem, many matching solutions have been propose...
Given two classifications, or lightweight ontologies, we compute the minimal mapping, namely the sub...
Abstract. The best practices for Linked Data design recommend reusing known ontologies. However, the...
In this paper, we present an algorithm and a tool for computing minimal, equivalent EL concepts wrt....
In this paper, we present an algorithm and a tool for computing minimal, equivalent EL concepts wrt....
Abstract. Dealing with heterogeneous ontologies by means of semantic map-pings has become an importa...
Identifying semantic correspondences between different vocabularies has been recognized as a fundame...
Abstract –Ontology mapping is an important way to solve two mainly heterogeneity problem metadata an...
Many projects have dealt with mappings between classifications both in computer science and digital ...
Incoherent alignment has been the main focus in the matching process since 2010. Incoherent means t...
This paper proposes a domain independent method for handling interoperability problems by learning a...
Communication in open systems is hampered by the lack of standardization of the on-tology used to de...