自顶向下提取半结构化数据

6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268) Pub Date : 1999-09-21 DOI:10.1109/SPIRE.1999.796593

B. Ribeiro-Neto, Alberto H. F. Laender, A. D. Silva

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引用次数: 7

摘要

我们提出了一种从Web资源中提取半结构化数据的创新方法。这个想法是从用户那里收集一些示例对象，并使用这些信息从新的页面或文本中提取新的对象。我们提出了一种自顶向下的策略，提取复杂的对象，将它们分解为不那么复杂的对象，直到原子对象被提取出来。通过实验，我们证明了使用少量给定示例，我们的策略能够提取作为输入的Web源中存在的大多数对象。

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Top-down extraction of semi-structured data

We propose an innovative approach to extracting semi-structured data from Web sources. The idea is to collect a couple of example objects from the user and to use this information to extract new objects from new pages or texts. We propose a top-down strategy that extracts complex objects, decomposing them in objects less complex, until atomic objects have been extracted. Through experimentation, we demonstrate that with a small number of given examples, our strategy is able to extract most of the objects present in a Web source given as input.

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来源期刊

6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)

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