Michael Airhart

Michael Airhart is a seasoned ontologist and data modeling expert with over two decades of experience developing and implementing large-scale classification systems. His expertise spans across diverse sectors including news media, healthcare, and e-commerce, where he has consistently demonstrated his ability to bridge the gap between complex data structures and practical business solutions.

Throughout his career, Michael has led numerous transformative projects, including the development of comprehensive taxonomies capable of processing tens of thousands of documents daily. At organizations like Tribune Content Agency and McClatchy-Tribune, he played pivotal roles in modernizing content classification systems and establishing sophisticated ontological frameworks. His technical expertise encompasses a wide range of semantic web technologies, including OWL, RDF, SPARQL, and SKOS, complemented by strong programming skills in Python and SQL.

Currently based in Phoenix, Arizona, Michael combines his deep technical knowledge with a collaborative approach to problem-solving. He is particularly passionate about the potential of ontologies to transform data into meaningful, actionable knowledge. As an active member of professional organizations including the Association for Computing Machinery and the IEEE Computer Society, Michael stays at the forefront of developments in knowledge engineering and semantic web technologies. His recent certifications in Data Science and Semantic Web technologies reflect his commitment to continuous learning and professional development in this rapidly evolving field.