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Mostrando ítems 11-17 de 17
Informe
An Intuitive and Formal Description of Preferences for Semantic Web Service Discovery and Ranking (Technical Report ISA-12-TR-07)
(2012)
Preference modeling constitutes an essential component for the execution of Semantic Web Service (SWS) discovery and, especially, ranking processes, providing facilities to define user requests and preferences. In this ...
Artículo
MostoDEx: A tool to exchange RDF data using exchange samples
(Elsevier, 2015)
The Web is evolving into a Web of Data in which RDF data are becoming pervasive, and it is organised into datasets that share a common purpose but have been developed in isolation. This motivates the need to devise complex ...
Artículo
CALA: An unsupervised URL-based web page classification system
(Elsevier, 2014)
Unsupervised web page classification refers to the problem of clustering the pages in a web site so that each cluster includes a set of web pages that can be classified using a unique class. The existing proposals to ...
Artículo
Deep Web crawling: a survey
(Springer, 2019)
Deep Web crawling refers to the problem of traversing the collection of pages in a deep Web site, which are dynamically generated in response to a particular query that is submitted using a search form. To achieve this, ...
Artículo
SOA4 All Integrated Ranking: una herramienta holística basada en preferencias
(Asociación de Técnicos de Informática, 2012)
Informe
A Lightweight Prototype Implementation of SPARQL Filters for WSMO-based Discovery (Technical Report ISA-11-TR-01)
(2011)
Semantic Web Services discovery is commonly a heavyweight task, which has scal ability issues when the number of services or the ontology complexity increase, because most approaches are based on Description Logics ...
Artículo
CALA: Classifying Links Automatically based on their URL
(Elsevier, 2016)
Web page classification refers to the problem of automatically assigning a web page to one or moreclasses after analysing its features. Automated web page classifiers have many applications, and many re- searchers have ...