American Journal of Circuits, Systems and Signal Processing
Articles Information
American Journal of Circuits, Systems and Signal Processing, Vol.1, No.1, Apr. 2015, Pub. Date: May 13, 2015
Ontology Similarity Measuring and Ontology Mapping Algorithms Based on Fused Lasso Signal Approximator
Pages: 14-19 Views: 3489 Downloads: 1159
Authors
[01] Yun Gao, Department of Editorial, Yunnan Normal University, Kunming, China.
[02] Wei Gao, School of Information Science and Technology, Yunnan Normal University, Kunming, China.
Abstract
Ontology similarity calculation is important research topics in information retrieval and widely used in science and engineering. By analyzing the technology of fused lasso signal approximator, we propose the new algorithm for ontology similarity measure and ontology mapping. Via the ontology sparse vector learning, the ontology graph is mapped into a line consists of real numbers. The similarity between two concepts then can be measured by comparing the difference between their corresponding real numbers. The experiment results show that the proposed new algorithm has high accuracy and efficiency on ontology similarity calculation and ontology mapping.
Keywords
Ontology, Similarity Measure, Ontology Mapping, Sparse Vector, Fused Lasso Signal Approximator
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