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Mostrando ítems 1-10 de 18
Artículo
TOMATE: A heuristic-based approach to extract data from HTML tables
(Elsevier, 2021)
Extracting data from user-friendly HTML tables is difficult because of their different lay outs, formats, and encoding problems. In this article, we present a new proposal that first applies several pre-processing heuristics ...
Ponencia
A Novel Approach to Web Information Extraction
(Springer, 2015)
Business Intelligence requires the acquisition and aggrega tion of key pieces of knowledge from multiple sources in order to provide valuable information to customers. The Web is the largest source of infor mation nowadays. ...
Ponencia
An Unsupervised Technique to Extract Information from Semi-structured Web Pages
(Springer, 2012-11)
We propose a technique that takes two or more web pages generated by the same server-side template and tries to learn a regular expression that represents it and helps extract relevant information from similar pages. Our ...
Artículo
ARIEX: Automated ranking of information extractors
(Elsevier, 2016)
Information extractors are used to transform the user-friendly information in a web document into structured information that can be used to feed a knowledge-based system. Researchers are interested in ranking them to ...
Artículo
A clustering approach to extract data from HTML tables
(Elsevier, 2021)
HTML tables have become pervasive on the Web. Extracting their data automatically is difficult because finding the relationships between their cells is not trivial due to the many different layouts, encodings, and formats ...
Ponencia
A Novel Approach to Web Information Extraction
(Springer International Publishing AG, 2015-06)
Business Intelligence requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers. The Web is the largest source of information nowadays. ...
Artículo
A Methodology to Evaluate the Maintainability of Enterprise Application Integration Frameworks
(Inderscience Enterprises Ltd, 2015-12)
Consulting companies that specialise in Enterprise Application Integration commonly require adapting existing frameworks to specific domains. Currently, there are many such frameworks available, most of which provide a ...
Ponencia
Feeding Software Agents with Web Information
(Springer, 2015)
Many software agents require information that is available in web documents. Unfortunately, the existing proposals to learn extrac tion rules are tightly coupled with the learning component and do not result in resilient ...
Artículo
Roller: A novel approach to web information extraction
(Springer, 2016)
The research regarding web information extraction focuses on learning rules to extract some selected information from web documents. Many proposals are ad-hoc and cannot benefit from the advances in machine learning; ...
Artículo
Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction
(IEEE Xplore, 2014-06)
Web data extractors are used to extract data from web documents in order to feed automated processes. In this article, we propose a technique that works on two or more web documents generated by the same server-side template ...