Development of a Job Posting Website Integrated with a Knowledge Graph
Our project focused on constructing a comprehensive knowledge graph by meticulously collecting company data and job postings from four distinct sources, along with the effective implementation of entity linking. This invaluable knowledge graph forms the backbone of a sophisticated job posting website.
Our Achievements:
Knowledge Graph Creation
We successfully compiled an extensive knowledge graph by aggregating data from multiple sources. This knowledge graph serves as a robust repository of information, allowing users to gain deep insights into companies and job postings.
Enhanced Visualization
Our job posting website goes beyond standard listings. It provides a visually rich representation of company-related data, leveraging the knowledge graph for a more engaging and informative user experience.
Intelligent Recommendations
We implemented an intelligent recommendation system that suggests similar companies and job postings to users, based on various attributes such as required skills, educational qualifications, and job keywords. This feature enhances the user’s journey by presenting relevant opportunities aligned with their interests and current viewing preferences.
Our project represents a significant step towards revolutionizing the job posting landscape, offering users a holistic and data-driven approach to job searching and company exploration.
Preview the Website!
Development Environment
- Flask
- Python
- RDFlib
- HTML5
- CSS
- JavaScript
- SPARQL
- Neo4j
Details
To access additional information and project results, please visit my GitHub repository.
Github