Knowledge Elicitation for Query Refinement in a Semantic-Enabled E-Marketplace

7th International Conference on Electronic Commerce ICEC 05 ACM Press - -2005

Authors

Colucci Simona, Di Noia Tommaso, Di Sciascio Eugenio, Donini Francesco M., Ragone Azzurra

Abstract

In this paper we present a knowledge-based approach to the elicitation of information from advertisements, in the framework of a semantic-enabled marketplace. The elicited information can be used for advertisements enriching and refining, without requiring users thorough knowledge of the domain, and to determine a logic-based exact match. The approach exploits non-standard inference services in Description Logics, namely Abduction and Contraction, to tackle a typical problem of semantic-enabled marketplaces, that is the difficulty the average or casual user has in exploiting all the knowledge expressed in an e-commerce domain, which appears necessary to issue requests.

Download: icec05.pdf

DOI

https://doi.org/10.1145/1089551.1089673

BibTex references

@InProceedings{CDDDR05,
  author       = "Colucci, Simona and Di Noia, Tommaso and Di Sciascio, Eugenio and Donini, Francesco M. and Ragone, Azzurra",
  title        = "Knowledge Elicitation for Query Refinement in a Semantic-Enabled E-Marketplace",
  booktitle    = "7th International Conference on Electronic Commerce ICEC 05 ACM Press",
  pages        = "685--691",
  year         = "2005",
  publisher    = "ACM",
  url          = "http://sisinflab.poliba.it/Publications/2005/CDDDR05"

}