Crawling the German Health Web: Exploratory Study and Graph Analysis.

ABSTRACT:

Background

The internet has become an increasingly important resource for health information. However, with a growing amount of web pages, it is nearly impossible for humans to manually keep track of evolving and continuously changing content in the health domain. To better understand the nature of all web-based health information as given in a specific language, it is important to identify (1) information hubs for the health domain, (2) content providers of high prestige, and (3) important topics and trends in the health-related web. In this context, an automatic web crawling approach can provide the necessary data for a computational and statistical analysis to answer (1) to (3).

Objective

This study demonstrates the suitability of a focused crawler for the acquisition of

SUBMITTER: Zowalla R 

PROVIDER: S-EPMC7414401 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature