Lead Taxonomist
Arlington, Va, Us
• Combined more than 70 individual program taxonomies into a single, enterprise-wide taxonomy used to tag all research content published on CEB's websites• Developed company-based ontology to tag content with, industry, region, revenue, and other related metadata based on companies covered in the content• Used SAS Text Miner to analyze structured and unstructured content, identify relevant topics, and develop preliminary tagging rules based on keyword clustering• Specified requirements, managed the selection of, and directed the implementation of enterprise search, text analytics, and auto-categorization application• Generated preliminary set of auto-categorization rules for more than 9,000 terms across 5 dimensions and supervised the modification of all rules to tag content with the most applicable terms• Optimized search performance across multiple member-facing websites through the analysis of search logs, modification of synonym lists, use of tagging in search relevancy, and fine-tuning of search relevancy algorithm