Desarrollo de una solución web para el proceso de recolección de datos en internet a datos semánticos apoyados en la visualización

Abstract

Actually the Web is one of the main carriers of information, one of the disadvantages is that that the representation of information is only understandable by humans, excluding machines from data processing. Nowadays, the tools that integrate the functionalities of data collection until the RDF conversion are insufficient, that is why it is proposed to provide a solution by integrating capable tools de involucrar al usuario en todo el proceso (Scrapy, Selenium, Jquery). Making use of the SCRUM methodology for the work development, a web application was created capable of extracting data from web pages that contain information filtering or searching. One of the main characteristics of the proposal is based on HTML own attributes (classes). It also contains a module for mapping CSV data to RDF serializations, reusing vocabularies of the Semantic Web with the use of the LOV API. To validate the data collection and transformation process, the web application passes over different tests, validating usability and functioning.