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Mostrando ítems 1-10 de 14
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
On learning context-aware rules to link RDF datasets
(Oxford University Press, 2020-09-15)
Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same ...
Artículo
On Extracting Data from Tables that are Encoded using HTML
(Elsevier, 2020)
Tables are a common means to display data in human-friendly formats. Many authors have worked on proposals to extract those data back since this has many interesting applications. In this article, we summarise and compare ...
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 ...
Artículo
A deep-learning approach to mining conditions
(ScienceDirect, 2020-04)
A condition is a constraint that determines when a consequent holds. Mining them in text is paramount to understand many sentences properly. In the literature, there are a few pattern-based proposals that fall short regarding ...
Artículo
An encoder–decoder approach to mine conditions for engineering textual data
(ScienceDirect, 2020-05)
Data engineering seeks to support artificial intelligence processes that extract knowledge from raw data. Many such data are rendered in natural language from which entity-relation extractors extract facts and opinion ...
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
Torii: An aspect-based sentiment analysis system that can mine conditions
(John Wiley and Sons, 2020-01)
Aspect-based sentiment analysis systems are a kind of text-mining systems that specialize in summarizing the sentiment that a collection of reviews convey regarding some aspects of an item. There are many cases in which ...
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 ...