Paper Info
Title
On learning web information extraction rules with TANGO.
Abstract
The research on Enterprise Systems Integration focuses on proposals to support business processes by re-using existing systems. Wrappers help re-use web applications that provide a user interface only. They emulate a human user who interacts with them and extracts the information of interest in a structured format. In this article, we present TANGO, which is our proposal to learn rules to extract information from semi-structured web documents with high precision and recall, which is a must in the context of Enterprise Systems Integration. It relies on an open catalogue of features that helps map the input documents into a knowledge base in which every DOM node is represented by means of HTML, DOM, CSS, relational, and user-defined features. Then a procedure with many variation points is used to learn extraction rules from that knowledge base; the variation points include heuristics that range from how to select a condition to how to simplify the resulting rules. We also provide a systematic method to help re-configure our proposal. Our exhaustive experimentation proves that it beats others regarding effectiveness and is efficient enough for practical purposes. Our proposal was devised to be as configurable as possible, which helps adapt it to particular web sites and evolve it when necessary. HighlightsTANGO can be adapted to particular websites or to keep with the evolution of HTML.It relies on an open catalogue of features and a highly configurable learning process.We provide a method to help re-configure our proposal to improve the effectiveness.It beats other state-of-the-art proposals regarding effectiveness.
Year
DOI
Venue
2016
10.1016/j.is.2016.05.003
Information Systems
Keywords
Field
DocType
Web information extraction,Semi-structured documents,Open catalogues of features,Learning rules,Variation points,Configuration method
Data mining,Enterprise system,Business process,Computer science,Precision and recall,Heuristics,Knowledge base,Web application,User interface,Web information,Database
Journal
Volume
Issue
ISSN
62
C
0306-4379
Citations 
PageRank 
References 
4
0.44
24
Authors
2
Name
Order
Citations
PageRank
Patricia Jiménez1143.99
Rafael Corchuelo238949.87