Extracting Structured Records From Wikipedia

This document proposes a method to extract structured records from Wikipedia pages by identifying associations between prominent textual keywords and neighboring contextual text blocks. The method uses a combination of pattern matching and a token frequency algorithm to heuristically identify context headers on each Wikipedia page and hierarchically group surrounding elements. The extracted results are stored in a domain-neutral schema to support improved search capabilities through a relational database interface. Experimental results indicate the approach successfully extracts diverse Wikipedia structural types with good accuracy and high recall.