As a valid solution to the semantic heterogeneity problem, many matching solutions have been proposed. Given two lightweight ontologies, we compute the minimal mapping, namely the subset of all possible correspondences, that we call mapping elements, between them such that i) all the others can be computed from them in time linear in the size of the input ontologies, and ii) none of them can be dropped without losing property i). We provide a formal definition of minimal mappings and define a time efficient computation algorithm which minimizes the number of comparisons between the nodes of the two input ontologies. The experimental results show a substantial improvement both in the computation time and in the number of mapping elements whi...
We develop a formal framework for comparing different versions of ontologies, and apply it to ontolo...
Abstract. The best practices for Linked Data design recommend reusing known ontologies. However, the...
AbstractWe develop a formal framework for comparing different versions of ontologies, and apply it t...
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...
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...
Many projects have dealt with mappings between classifications both in computer science and digital ...
Identifying semantic correspondences between different vocabularies has been recognized as a fundame...
Abstract. Dealing with heterogeneous ontologies by means of semantic map-pings has become an importa...
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 –Ontology mapping is an important way to solve two mainly heterogeneity problem metadata an...
Incoherent alignment has been the main focus in the matching process since 2010. Incoherent means t...
We develop a formal framework for comparing different versions of ontologies, and apply it to ontolo...
Abstract. The best practices for Linked Data design recommend reusing known ontologies. However, the...
AbstractWe develop a formal framework for comparing different versions of ontologies, and apply it t...
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...
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...
Many projects have dealt with mappings between classifications both in computer science and digital ...
Identifying semantic correspondences between different vocabularies has been recognized as a fundame...
Abstract. Dealing with heterogeneous ontologies by means of semantic map-pings has become an importa...
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 –Ontology mapping is an important way to solve two mainly heterogeneity problem metadata an...
Incoherent alignment has been the main focus in the matching process since 2010. Incoherent means t...
We develop a formal framework for comparing different versions of ontologies, and apply it to ontolo...
Abstract. The best practices for Linked Data design recommend reusing known ontologies. However, the...
AbstractWe develop a formal framework for comparing different versions of ontologies, and apply it t...