Extracting unstructured information from the WWW to support merchant existence in e-commerce

Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 and Kasiran, MK 2003, 'Extracting unstructured information from the WWW to support merchant existence in e-commerce' , in: Natural language processing and information systems , Lecture notes in informatics, 29 , Gesellschaft für Informatik (German Informatics Society), Bonne, Germany, pp. 175-185.

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Abstract

In [KM02]a model has been developed to support trust in eCommerce. The model is composed of four main modules where each module is a set of factors the consumer is looking for to trust a virtual merchant. These four modules represent the merchant existence, affiliation, policy and performance. In this paper, we present a model to implement the existence module by developing an information extraction system which aims at localising the required information on the merchant’s website. The system is based on rules that reflect the different ways the information is represented on the websites, their structures and the layout of the websites. The extracted information is then stored in a database to be used for a future evaluation of the trust associated with the merchant website.

Item Type:	Book Section
Editors:	Düsterhöft, A and Thalheim, B
Additional Information:	Proceedings of the Eighth International Conference on Applications of Natural Language to Information Systems, June 2003, held in Burg (Spreewald), Germany (NLDB 2003)
Themes:	Subjects / Themes > H Social Sciences > HF Commerce Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science Subjects outside of the University Themes
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Publisher:	Gesellschaft für Informatik (German Informatics Society)
Refereed:	Yes
Series Name:	Lecture notes in informatics
ISBN:	9783885793588
Related URLs:	Publisher
Depositing User:	Prof Farid Meziane
Date Deposited:	13 Feb 2009 11:59
Last Modified:	16 Feb 2022 08:09
URI:	http://usir.salford.ac.uk/id/eprint/1728

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