WOM Scouter: mobile service for reputation extraction from weblogs
by T. Kawamura, S. Nagano, M. Inaba, Y. Mizoguchi
International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol. 3, No. 2, 2008

Abstract: In this paper, we introduce a mobile service that extracts reputations of a product from weblogs by cellular phones during shopping. In a mobile computing environment, it would be desirable for users to bind their real-world situation and useful information on the internet. However, the current typical devices for mobile computing, such as cellular phones, have small displays, limited operations, and narrow-band network. Thus, semantics can be useful in order to extract only the necessary information depending on the users' situation. Word-Of-Mouth (WOM) Scouter is an application for this purpose. If the user takes a photo of a product barcode on the package with a cellular phone camera, WOM Scouter first gets the product metadata (name, manufacturer, etc.) from the internet and collects blogs that review the product. Also, it analyses the blog contents with NLP techniques and ontologies. Then, it indicates the overall reputation (positive or negative), and other related products that are the subject of much discussion in the blogs. This paper illustrates each function of this service and a public experiment and evaluation at a real consumer electronics store and book-store in Tokyo in March 2006. This is a case of semantics use to provide an instant benefit in a mobile computing environment.

Online publication date: Mon, 08-Dec-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Metadata, Semantics and Ontologies (IJMSO):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com