Please use this identifier to cite or link to this item:
Title: Semantic eBroker
Authors: Azzopardi, Bjorn
Montebello, Matthew
Keywords: Electronic commerce
Intelligent agents (Computer software)
Semantic Web
RDF (Document markup language)
Issue Date: 2007
Publisher: University of Malta. Faculty of ICT
Citation: Azzopardi, B., & Montebello, M. (2007). Semantic eBroker. 5th Computer Science Annual Workshop (CSAW’07), Msida. 24-32.
Abstract: The world of e-commerce presents ample opportunity to fully utilise the capability of intelligent Agents. The highly dynamic, fast- moving and information-rich environment can often be overwhelming for the human participant. Agents can intelligently assist users by mimicking human behaviour and adapting themselves to their client’s specification. This thesis presents an e-commerce framework that would introduce negotiation techniques which allows sellers and buyers to trade using Case Base Reasoning techniques as well as being proactive in remembering users’ requests and autonomously monitoring vendor sites for new items that might match the users’ needs and preferences. It observes the users whilst shopping and learns their preferences with respect to various features that characterise shopping items.
Appears in Collections:Scholarly Works - FacICTAI
Scholarly Works - FacICTCS

Files in This Item:
File Description SizeFormat 
Proceedings of CSAW’07 - A3.pdf181.72 kBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.