A Portal Dedicated to Higgs Bosons for Experts and the General Public

TL;DR

The paper introduces a comprehensive web portal for Higgs boson research that aggregates over 1000 articles, automatically updates with new findings, and uses AI to categorize content for both experts and the public.

Contribution

It presents the design and implementation of the Higgs Boson Portal, integrating a large database, AI categorization, and cloud deployment for accessible Higgs research information.

Findings

Database with over 1000 articles created and maintained

AI-based categorization of articles implemented

Portal deployed on CERN Web Services platform

Abstract

As an educational aid and source for expert information, a web portal dedicated to Higgs boson research is presented. A database is created with more than 1000 relevant articles using CERN Document Server API and web scraping methods. The database is automatically updated when new results on the Higgs boson become available. Using artificial intelligence and natural language processing, the articles are categorized according to properties of the Higgs boson and other criteria. The process of designing and implementing the Higgs Boson Portal (HBP) is described. The components of the HBP are deployed to CERN Web Services using the OpenShift cloud platform. The HBP is accessible within the Czech Particle Physics Project (CPPP) at http://cern.ch/cppp and directly at http://cern.ch/higgs.