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A density compensation-based path computing model for measuring semantic similarity ...
Zhu, Xinhua
;
Li, Fei
;
Chen, Hongchao
;
Peng, Qi
. - : arXiv, 2015
Abstract:
The shortest path between two concepts in a taxonomic ontology is commonly used to represent the semantic distance between concepts in the edge-based semantic similarity measures. In the past, the edge counting is considered to be the default method for the path computation, which is simple, intuitive and has low computational complexity. However, a large lexical taxonomy of such as WordNet has the irregular densities of links between concepts due to its broad domain but. The edge counting-based path computation is powerless for this non-uniformity problem. In this paper, we advocate that the path computation is able to be separated from the edge-based similarity measures and form various general computing models. Therefore, in order to solve the problem of non-uniformity of concept density in a large taxonomic ontology, we propose a new path computing model based on the compensation of local area density of concepts, which is equal to the number of direct hyponyms of the subsumers of concepts in their ... : 17 pages,11 figures ...
Keyword:
68T50
;
Artificial Intelligence cs.AI
;
FOS Computer and information sciences
;
I.2.1
URL:
https://arxiv.org/abs/1506.01245
https://dx.doi.org/10.48550/arxiv.1506.01245
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