SEOntology: Writing the Future of SEO

Tracking #: 3755-4969

This paper is currently under review
Authors: 
Emilija Gjorgjevska
David Riccitelli
Andrea Volpini
Milos Jovanovik

Responsible editor: 
Philipp Cimiano

Submission type: 
Ontology Description
Abstract: 
The emergence of generative artificial intelligence (GenAI) presents both opportunities and challenges for the search engine optimization (SEO) industry, particularly concerning the maintenance of data quality and curation. The SEO industry has evolved significantly from traditional practices focused on keyword optimization to a more sophisticated, user-centric approach that emphasizes semantic data and entity understanding. Within this evolving landscape, we introduce SEOntology as a pioneering ontology designed to formalize and systematize SEO-related knowledge, effectively bridging the gap between human and machine understanding. SEOntology seeks to standardize the complex vocabulary and interrelationships of SEO concepts and enhance the transparency, consistency, and efficiency of SEO practices. This paper details the design and implementation of SEOntology and examines its potential to future-proof the SEO industry by enabling more dynamic content interactions, improving data quality, and supporting the responsible integration of AI technologies.
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Under Review