Buscar
Mostrando ítems 1-6 de 6
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
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 ...
Ponencia
On Member Labelling in Social Networks
(Springer, 2015)
Software agents are increasingly used to search for experts, recommend resources, assess opinions, and other similar tasks in the context of social networks, which requires to have accurate information that describes the ...
Ponencia
On Extracting Information from Semi-structured Deep Web Documents
(Springer, 2015)
Some software agents need information that is provided by some web sites, which is difficult if they lack a query API. Information extractors are intended to extract the information of interest automati cally and offer ...
Ponencia
A Transducer Model for Web Information Extraction
(CSREA Press, 2011)
In recent years, many authors have paid attention to web information extractors. They usually build on an algorithm that interprets extraction rules that are inferred from examples. Several rule learning techniques are ...
Ponencia
On a Proposal to Integrate Web Sources using Semantic-Web Technologies
(IEEE Xplore, 2011-10)
Companies comprise a variety of software applications to carry out their business activities. A recurrent challenge is how to make them interoperate with each other which is usually handcrafted, which is a tedious task ...