Extraction techniques for mining services from Web sources

H. Davulcu, Saikat Mukherjee, I. Ramakrishnan
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引用次数: 9

Abstract

The Web has established itself as the dominant medium for doing electronic commerce. Consequently the number of service providers, both large and small, advertising their services on the web continues to proliferate. In this paper we describe new extraction algorithms for mining service directories from web pages. We develop a novel propagation technique for identifying and accumulating all of the attributes related to a service entity in a web page. We provide experimental results of the effectiveness of our extraction techniques by mining a database of veterinarian service providers from web sources.
用于从Web源挖掘服务的提取技术
网络已经确立了自己作为电子商务的主导媒介的地位。因此,服务提供商的数量,无论大小,在网络上宣传他们的服务继续激增。本文描述了一种新的从网页中挖掘服务目录的提取算法。我们开发了一种新的传播技术,用于识别和积累网页中与服务实体相关的所有属性。通过从网络资源中挖掘兽医服务提供者的数据库,我们提供了提取技术有效性的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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