Dan Segal is a taxonomist and text analyst on ibm.com's Information Architecture team.  His work focuses on the use of natural language processing and machine learning for content management, SEO and digital marketing.  Dan has over 15 years of experience as a practitioner and consultant in the areas of taxonomy and ontology development, automated text enrichment and classification, semantic metadata, and information retrieval. He holds BS and MLS degrees from Rutgers University.