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Ontology Algorithm Based on Semi-supervised Eigenmap Learning |
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PP: 89-92 |
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Author(s) |
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Bo Peng,
Tian-wei Xu,
Zhen Li,
Wei Gao,
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Abstract |
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| Ontology similarity calculation is an important research topic in
information retrieval and it is also widely used in computer
science. In this paper，we propose new algorithms for ontology
similarity measurement and ontology mapping using Semi-supervised
Eigenmap Learning method. Via the learning algorithm，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. Two
experimental results show that the proposed new algorithm has high
accuracy and efficiency on ontology similarity calculation and
ontology mapping. |
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