Automated product taxonomy mapping in an e-commerce environment. Issue 3 (15th February 2015)

• Record Type: Journal Article
• Authors: Aanen, Steven S.; Vandic, Damir; Frasincar, Flavius
• Is Part Of: Expert systems with applications. Volume 42:Issue 3(2015)
• Page Start: 1298
• Page End: 1313
• Publication Date: 2015-02-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.09.032
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st150">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0555">We propose an algorithm for automatic product taxonomy mapping in e-commerce.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0560">The algorithm uses word sense disambiguation techniques to handle heterogeneity.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0565">Our algorithm copes with composite categories in product category names.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0570">We compute path-similarities using lexical relatedness and structural information.</p> </list-item> <list-item id="u0025"> <label></label> <p id="p0575">Using real-world data, we show that we improve existing state-of-the-art methods.</p> </list-item> </list> </p> </sec> </abstract>