2017
DOI: 10.1109/access.2016.2614759
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Accurate Identification of Ontology Alignments at Different Granularity Levels

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Cited by 14 publications
(8 citation statements)
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“…1. Directly infer correspondence using the reasoner with inputting conclusions from the lexical analysis phase [16], [22]- [24], [36]. 2.…”
Section: A Analysis Of Present Situationmentioning
confidence: 99%
See 1 more Smart Citation
“…1. Directly infer correspondence using the reasoner with inputting conclusions from the lexical analysis phase [16], [22]- [24], [36]. 2.…”
Section: A Analysis Of Present Situationmentioning
confidence: 99%
“…S-Match defines the concept of a node whose logic expression is computed as the intersection of the concepts of all labels from the root node to the node itself. CtxMatch [36] and S-Match submit expressions of conclusions obtained at the lexical analysisbased phase to the deciders, and define the inferences of the deciders as the correspondence between entities. ILIADS uses the inferences of the deciders as the foundation for computing semantic similarity.…”
Section: A Analysis Of Present Situationmentioning
confidence: 99%
“…The equation (11) means that the risk τ i follows a beta distribution whose mean is τ * . Thus, the values of τ i are at the neighborhood of τ * , and their proximity is controlled by the parameter γ .…”
Section: Risk Approximation: a Bayesian Hierarchical Modelmentioning
confidence: 99%
“…The parameters γ and τ * are also unknown, hence we again model them as a distribution. According to equation (11), the values of γ must be greater than one since the concentration parameter cannot be negative. There are many distributions for non-negative variables, and we use here the gamma distribution for γ , e.g.,…”
Section: Risk Approximation: a Bayesian Hierarchical Modelmentioning
confidence: 99%
See 1 more Smart Citation