Large scale acquisition and maintenance from the web without source access

Leonard, T. and Glaser, H. (2001) Large scale acquisition and maintenance from the web without source access. In: Workshop 4, Knowledge Markup and Semantic Annotation, K-CAP 2001. pp. 97-101.

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Abstract

Although different web sites structure their pages differently, the pages within a single site are often generated from a database and have a regular layout from which it is possible to extract information automatically.

Dome is a visual tool for manipulating tree-structured documents. It can import and export in XML or HTML formats, making it ideal for harvesting information from web pages. Editing is performed using a direct manipulation interface and the operations are recorded for later playback.

The knowledge extracted from a web page may be updated by replaying the recorded sequence when the source page changes. The same sequence can be applied to other pages with a similar format, and facilities are provided to batch process a large collection of pages in one operation.

In this paper we describe how Dome may be used to extract knowledge from web sites in such a way that the extraction process may be reliably replayed.

Item Type:	Conference or Workshop Item
Creator/Authors:	Thomas Leonard Hugh Glaser
Editors:	Siegfried Handschuh Rose Dieng-Kuntz Steffan Staab
Research Group:	Current ECS Groups > IT Innovation Centre Old ECS Groups > Dependable Systems and Software Engineering Research Group Current ECS Groups > Web and Internet Science Old ECS Groups > Intelligence, Agents, Multimedia
Date:	October 2001
Information about this record:
Performance Indicator:	EZ~02~02~05
Citations:	Google Scholar: 31
Downloads (2010):	7
ID Code:	6185
Last Modified:	23 Sep 2011 10:28
Deposited On:	17 Dec 2001 by Leonard, Thomas

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