A Concept Similarity Algorithm Based on FCA
Zhu Guo-jin · Computer Technology and Development · 2008
The concept similarity is one of the most important problems in the machine language research.Describes one method to compute the similarity between two concepts.The method is based on the attribute of formal concept analysis.The measurement of concept similarity is defined by semantic similarity and semantic distance.First,get the attribute similarity and transfer to attribute distance.And then build network flow model on attribute distance to get the concept distance which transfer to the final concept similarity.At last uses one example in author's familiar area to show this method is effective for similarity computation.