Automated product taxonomy mapping in an e-commerce environment

Highlights：

• We propose an algorithm for automatic product taxonomy mapping in e-commerce.

• The algorithm uses word sense disambiguation techniques to handle heterogeneity.

• Our algorithm copes with composite categories in product category names.

• We compute path-similarities using lexical relatedness and structural information.

• Using real-world data, we show that we improve existing state-of-the-art methods.