Searching for Parts and Services on the Web

Quan Zhu Fangqi Hu Ke-Thia Yao Peter Will

International Symposium on Research, Development and Practice in Digital Libraries / .
(ReLIS:jul:juljit:8446)

Abstract:

The World Wide Web is a rich repository of information. However, the Web is primarily designed for human users, and maintains the majority of its information in textual form. This makes reliable and efficient ways of retrieving and extracting that information from the Web difficult. Textual information has some structure, but it is not readily accessible through traditional database techniques. Its enormous size and exponential growth make the problem even more difficult. This paper describes a method that uses statistical correlation analysis techniques in order to discover useful information by recognizing certain patterns present in the Web documents. In particular, we apply our method to electronic commerce to discover taxonomies of parts and services, and to discover companies providing these parts and services.

Creation: 1997
Keywords: Internet ; Comercio electrónico ; World wide web ; Motores de búsqueda ; Recuperación de la información

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