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Mostrando ítems 11-20 de 24
Artículo
Wrapping Web Data Islands
(Graz University of Technology, 2008)
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 ...
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
Automatic Service Agreement Negotiators in Open Commerce Environments
(Taylor and Francis, 2010)
There is a steady shift in e‑commerce from goods to services that must be provisioned according to service agreements. This study focuses on software frameworks to develop automated negotiators in open commerce ...
Artículo
On the synthesis of metadata tags for HTML files
(Wiley, 2020)
RDFa, JSON-LD, Microdata, and Microformats allow to endow the data in HTML files with metadata tags that help software agents understand them. Unluckily, there are many HTML files that do not have any metadata tags, which ...
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 proposal to detect errors in Enterprise Application Integration solutions
(ScienceDirect, 2012-03)
EnterpriseApplication Integration (EAI) solutions comprise a set of specific-purpose processes thatimple ment exogenous message workflows. The goal is to keep a number of applications’ data in synchrony or to develop new ...