edimarmanica Goto Github PK
Name: Edimar Manica
Type: User
Company: IFRS
Location: Brazil
Name: Edimar Manica
Type: User
Company: IFRS
Location: Brazil
This dataset is a real-world web page collection. It has 18 websites with entity-pages about council members. The official websites of the city council of the 26 Brazilian State capitals were analyzed. We excluded four websites because they did not have an entity-page for each council member, three websites because all the entity-pages were internal frames of a single page, and one website because it did not allow crawling its pages.
Domain-centric data extraction
Fazenda
Implementação da Fazenda em Python
Saída do intrasite
A bunch of fancy soft string matching routines, with some accompanying datasets
SSUP is a method for entity-page discovery. Given an entity-page of a website, SSUP finds the set of entity-pages in the website. For example, given the page describing Fernando Alonso in the Formula 1 official website, SSUP finds the pages that describe the drivers in the website.
Testando
Contém as correções realizadas no gabarito e a associação de identificadores para as entidades descritas nas páginas.
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