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Published in:
2005 | OriginalPaper | Chapter
Measuring Semantic Similarity Based on Weighting Attributes of Edge Counting
Authors : JuHum Kwon, Chang-Joo Moon, Soo-Hyun Park, Doo-Kwon Baik
Published in: Artificial Intelligence and Simulation
Publisher: Springer Berlin Heidelberg
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Semantic similarity measurement can be applied in many different fields and has variety of ways to measure it. As a foundation paper for semantic similarity, we explored the edge counting method for measuring semantic similarity by considering the weighting attributes from where they affect an edge’s strength. We considered the attributes of scaling depth effect and semantic relation type extensively. Further, we showed how the existing edge counting method could be improved by considering virtual connection. Finally, we compared the performance of the proposed method with a benchmark set of human judgment of similarity. The results of proposed measure were encouraging compared with other combined approaches.