Automated product taxonomy mapping in an e-commerce environment
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.
products mapping e-commerce semantic web schema ontology matching merging web shop