With the vast amount of information available on the Web, there is an increasing need to structure Web data in order to make it accessible to both users and machines. E-commerce is one of the areas in which growing data congestion on the Web has serious consequences. This paper proposes a frame- work that is capable of populating a product ontology us- ing tabular product information from Web shops. By for- malizing product information in this way, better product comparison or recommendation applications could be built. Our approach employs both lexical and syntactic matching for mapping properties and instantiating values. The per- formed evaluation shows that instantiating consumer elec- Tronics from Best Buy and Newegg.com results in an F1 score of approximately 77%.

, ,
doi.org/10.1145/2567948.2577322, hdl.handle.net/1765/93666
23rd International Conference on World Wide Web, WWW 2014
Erasmus University Rotterdam

Vandic, D., Nederstigt, L., Aanen, S., Frasincar, F., & Hogenboom, F. (2014). Ontology population from web product information. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 391–392). doi:10.1145/2567948.2577322