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Mostrando ítems 1-9 de 9
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 ...
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 ...
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
On Learning Web Information Extraction Rules with TANGO
(Elsevier, 2016)
The research on Enterprise Systems Integration focuses on proposals to support business processes by re-using existing systems. Wrappers help re-use web ap plications that provide a user interface only. They emulate a ...
Artículo
On validating web information extraction proposals
(Elsevier, 2022)
Many people who have to make informed decisions in today’s always-on culture use information extractors to feed their systems with information that comes from human-friendly documents. Unfortunately, many proposals that ...
Artículo
On exploring data lakes by finding compact, isolated clusters
(Elsevier, 2022)
Data engineers are very interested in data lake technologies due to the incredible abun dance of datasets. They typically use clustering to understand the structure of the datasets before applying other methods to infer ...
Artículo
A coral-reef approach to extract information from HTML tables
(Elsevier, 2022)
his article presents Coraline, which is a new table-understanding proposal. Its novelty lies in a coral-reef optimisation algorithm that addresses the problem of feature selection in synchrony with a clustering technique ...
Artículo
A hybrid quantum approach to leveraging data from HTML tables
(Springer, 2022)
The Web provides many data that are encoded using HTML tables. This facilitates rendering them, but obfuscates their structure and makes it difficult for automated business processes to leverage them. This has motivated ...