Name
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 logicbased 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. We present an algorithm, which returns the set of concepts not included in the request-that can be used for query refinement- and more interesting what is still missing for each available supply, to obtain an exact, bidirectional, match. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1089551.1089673 | ICEC |
Keywords | Field | DocType |
non-standard inference service,users thorough knowledge,knowledge-based approach,semantic-enabled marketplace,query refinement,e-commerce domain,casual user,logicbased exact match,semantic-enabled e-marketplace,available supply,elicited information,knowledge elicitation,description logics,knowledge management,e commerce,semantic web | Data mining,Information retrieval,Computer science,Inference,Semantic Web,Description logic,Exploit,Casual,Knowledge elicitation,E-commerce,Marketing | Conference |
ISBN | Citations | PageRank |
1-59593-112-0 | 6 | 0.48 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simona Colucci | 1 | 1047 | 71.96 |
| Tommaso Di Noia | 2 | 1857 | 152.07 |
| Eugenio Di Sciascio | 3 | 1733 | 147.71 |
| Francesco M. Donini | 4 | 3481 | 452.47 |
| Azzurra Ragone | 5 | 511 | 40.86 |