Name
Title | ||
|---|---|---|
Synthesized Algorithms of Concept Similarity Based on the Semantic Correlation Prerequisite. |
Abstract | ||
|---|---|---|
This paper offers a synthesized approach of solving the shortage of the traditional similarity in ontology mapping. First, it selects high correlation concepts by Hirst-St-Onge semantic relativity algorithms, in order to reduce the complexity of the account. Then according to the characteristic of the ontology concept, we designs a synthesized method through calculating the respective similarity in name, attribute and instance of concepts, and works out weight by Sigmoid function. Experiment data indicates that it makes the better accuracy than the traditional methods. © Springer-Verlag Berlin Heidelberg 2013. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37502-6_53 | BIC-TA |
Keywords | Field | DocType |
concept similarity,ontology mapping,semantic correlation,weighting | Semantic similarity,Semantic integration,Weighting,Ontology Concept,Algorithm,Theory of relativity,Correlation,Artificial intelligence,Natural language processing,Economic shortage,Mathematics,Sigmoid function | Conference |
Volume | Issue | Citations |
212 | null | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui-lin Liu | 1 | 7 | 3.54 |
| Qing Liu | 2 | 462 | 74.39 |